TY - JOUR AB - In this review we provide a systematic analysis of transcriptomic signatures derived from 42 breast cancer gene expression studies, in an effort to identify the most relevant breast cancer biomarkers using a meta-analysis method. Meta-data revealed a set of 117 genes that were the most commonly affected ranging from 12% to 36% of overlap among breast cancer gene expression studies. Data mining analysis of transcripts and protein-protein interactions of these commonly modulated genes indicate three functional modules significantly affected among signatures, one module related with the response to steroid hormone stimulus, and two modules related to the cell cycle. Analysis of a publicly available gene expression data showed that the obtained meta-signature is capable of predicting overall survival (P < 0.0001) and relapse-free survival (P < 0.0001) in patients with early-stage breast carcinomas. In addition, the identified meta-signature improves breast cancer patient stratification independently of traditional prognostic factors in a multivariate Cox proportional-hazards analysis. AU - Abba, M. C. AU - Lacunza, E. AU - Butti, M. AU - Aldaz, C. M. DA - 2010 DO - 10.4137/BMI.S5740 J2 - Biomark Insights KW - Biomarkers breast cancer gene expression signatures L1 - internal-pdf://3829176425/Abba-2010-Breast cancer biomarker discovery in.pdf LA - eng PY - 2010 SN - 1177-2719 1177-2719 SP - 103-118 ST - Breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures T2 - Biomarker insights TI - Breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures UR - http://www.la-press.com/redirect_file.php?fileId=3166&filename=2325-BMI-Breast-Cancer-Biomarker-Discovery-in-the-Functional-Genomic-Age:-A-Sys.pdf&fileType=pdf VL - 5 ID - 212 ER - TY - JOUR AB - The expansion of biomedical literature is creating the need for efficient tools to keep pace with increasing volumes of information. Text mining (TM) approaches are becoming essential to facilitate the automated extraction of useful biomedical information from unstructured text. We reviewed the applications of TM in psychiatry, and explored its advantages and limitations. A systematic review of the literature was carried out using the CINAHL, Medline, EMBASE, PsycINFO and Cochrane databases. In this review, 1103 papers were screened, and 38 were included as applications of TM in psychiatric research. Using TM and content analysis, we identified four major areas of application: (1) Psychopathology (i.e. observational studies focusing on mental illnesses) (2) the Patient perspective (i.e. patients' thoughts and opinions), (3) Medical records (i.e. safety issues, quality of care and description of treatments), and (4) Medical literature (i.e. identification of new scientific information in the literature). The information sources were qualitative studies, Internet postings, medical records and biomedical literature. Our work demonstrates that TM can contribute to complex research tasks in psychiatry. We discuss the benefits, limits, and further applications of this tool in the future. Copyright (c) 2015 John Wiley & Sons, Ltd. AU - Abbe, Adeline AU - Grouin, Cyril AU - Zweigenbaum, Pierre AU - Falissard, Bruno DA - 2016/06//undefined DO - 10.1002/mpr.1481 IS - 2 J2 - Int J Methods Psychiatr Res KW - applications psychiatry text mining L1 - internal-pdf://2442186215/Abbe-2016-Text mining applications in psychiat.pdf LA - eng PY - 2016 SN - 1557-0657 1049-8931 SP - 86-100 ST - Text mining applications in psychiatry: a systematic literature review T2 - International journal of methods in psychiatric research TI - Text mining applications in psychiatry: a systematic literature review UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/mpr.1481/asset/mpr1481.pdf?v=1&t=itipuwyk&s=588dfc4cce6dd28179c271ff28a544a4ade9d13f VL - 25 ID - 292 ER - TY - CONF AB - Educational Data Mining (EDM) is a multidisciplinary field that covers the area of analyzing educational data using data mining techniques. Since 2008 the first annual educational data mining conference has been established. Many articles have been published in the field of EDM due to the eager interest in improving teaching practices for both the learning process and the learners. This paper presents a systematic review of the published EDM literature during 2006-2013 based on the highly cited paper in this domain. More than three hundred papers were collected through Google scholar index, then they were classified according to the application domains, while also providing quantitative analysis of publications according to publication type, year, venue, category and tasks and contributors. Springer Science+Business Media Singapore 2014. AU - Al-Razgan, Muna AU - Al-Khalifa, Atheer S. AU - Al-Khalifa, Hend S. C3 - 1st International Conference on Advanced Data and Information Engineering, DaEng 2013, December 16, 2013 - December 18, 2013 DA - 2014 DO - 10.1007/978-981-4585-18-7_80 KW - data mining education Publishing L1 - internal-pdf://2755897432/chp%253A10.1007%252F978-981-4585-18-7_80.pdf N1 -
Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 18761100 SP - 711-719 ST - Educational Data Mining: A systematic review of the published literature 2006-2013 T3 - Lecture Notes in Electrical Engineering TI - Educational Data Mining: A systematic review of the published literature 2006-2013 UR - http://dx.doi.org/10.1007/978-981-4585-18-7_80 VL - 285 LNEE ID - 1862 ER - TY - JOUR AB - OBJECTIVES: To assess non-health literature, identify key strategies in promoting more networked teams and groups, apply external ideas to healthcare, and build a model based on these strategies. DESIGN: A systematic review of the literature outside of healthcare. METHOD: Searches guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) of ABI/INFORM Global, CINAHL, IBSS, MEDLINE and Psychinfo databases following a mind-mapping exercise generating key terms centred on the core construct of gaps across organisational social structures that uncovered 842 empirical articles of which 116 met the inclusion criteria. Data extraction and content analysis via data mining techniques were performed on these articles. RESULTS: The research involved subjects in 40 countries, with 32 studies enrolling participants in multiple countries. There were 40 studies conducted wholly or partly in the USA, 46 wholly or partly in continental Europe, 29 wholly or partly in Asia and 12 wholly or partly in Russia or Russian federated countries. Methods employed included 30 mixed or triangulated social science study designs, 39 qualitative studies, 13 experimental studies and 34 questionnaire-based studies, where the latter was mostly to gather data for social network analyses. Four recurring factors underpin a model for promoting networked behaviours and fortifying cross-group cooperation: appreciating the characteristics and nature of gaps between groups; using the leverage of boundary-spanners to bridge two or more groups; applying various mechanisms to stimulate interactive relationships; and mobilising those who can exert positive external influences to promote connections while minimising the impact of those who exacerbate divides. CONCLUSIONS: The literature assessed is rich and varied. An evidence-oriented model and strategies for promoting more networked systems are now available for application to healthcare. While caution needs to be exercised in translating outside ideas and studies, drawing on non-health ideas is useful in providing insights into other sectors. AU - Braithwaite, Jeffrey DA - 2015 DO - 10.1136/bmjopen-2014-006567 IS - 9 J2 - BMJ Open KW - Collaborative care Delivery of Health Care/*organization & administration Humans Interprofessional Relations Models, Organizational Networks Patient Care Team/*organization & administration Social Networking Teamwork L1 - internal-pdf://2795514974/Braithwaite-2015-Bridging gaps to promote netw.pdf LA - eng PY - 2015 SN - 2044-6055 2044-6055 SP - e006567 ST - Bridging gaps to promote networked care between teams and groups in health delivery systems: a systematic review of non-health literature T2 - BMJ open TI - Bridging gaps to promote networked care between teams and groups in health delivery systems: a systematic review of non-health literature UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593159/pdf/bmjopen-2014-006567.pdf VL - 5 ID - 52 ER - TY - JOUR AB - Importance: The use and misuse of P values has generated extensive debates.Objective: To evaluate in large scale the P values reported in the abstracts and full text of biomedical research articles over the past 25 years and determine how frequently statistical information is presented in ways other than P values.Design: Automated text-mining analysis was performed to extract data on P values reported in 12,821,790 MEDLINE abstracts and in 843,884 abstracts and full-text articles in PubMed Central (PMC) from 1990 to 2015. Reporting of P values in 151 English-language core clinical journals and specific article types as classified by PubMed also was evaluated. A random sample of 1000 MEDLINE abstracts was manually assessed for reporting of P values and other types of statistical information; of those abstracts reporting empirical data, 100 articles were also assessed in full text.Main Outcomes and Measures: P values reported.Results: Text mining identified 4,572,043 P values in 1,608,736 MEDLINE abstracts and 3,438,299 P values in 385,393 PMC full-text articles. Reporting of P values in abstracts increased from 7.3% in 1990 to 15.6% in 2014. In 2014, P values were reported in 33.0% of abstracts from the 151 core clinical journals (n = 29,725 abstracts), 35.7% of meta-analyses (n = 5620), 38.9% of clinical trials (n = 4624), 54.8% of randomized controlled trials (n = 13,544), and 2.4% of reviews (n = 71,529). The distribution of reported P values in abstracts and in full text showed strong clustering at P values of .05 and of .001 or smaller. Over time, the "best" (most statistically significant) reported P values were modestly smaller and the "worst" (least statistically significant) reported P values became modestly less significant. Among the MEDLINE abstracts and PMC full-text articles with P values, 96% reported at least 1 P value of .05 or lower, with the proportion remaining steady over time in PMC full-text articles. In 1000 abstracts that were manually reviewed, 796 were from articles reporting empirical data; P values were reported in 15.7% (125/796 [95% CI, 13.2%-18.4%]) of abstracts, confidence intervals in 2.3% (18/796 [95% CI, 1.3%-3.6%]), Bayes factors in 0% (0/796 [95% CI, 0%-0.5%]), effect sizes in 13.9% (111/796 [95% CI, 11.6%-16.5%]), other information that could lead to estimation of P values in 12.4% (99/796 [95% CI, 10.2%-14.9%]), and qualitative statements about significance in 18.1% (181/1000 [95% CI, 15.8%-20.6%]); only 1.8% (14/796 [95% CI, 1.0%-2.9%]) of abstracts reported at least 1 effect size and at least 1 confidence interval. Among 99 manually extracted full-text articles with data, 55 reported P values, 4 presented confidence intervals for all reported effect sizes, none used Bayesian methods, 1 used false-discovery rates, 3 used sample size/power calculations, and 5 specified the primary outcome.Conclusions and Relevance: In this analysis of P values reported in MEDLINE abstracts and in PMC articles from 1990-2015, more MEDLINE abstracts and articles reported P values over time, almost all abstracts and articles with P values reported statistically significant results, and, in a subgroup analysis, few articles included confidence intervals, Bayes factors, or effect sizes. Rather than reporting isolated P values, articles should include effect sizes and uncertainty metrics. AN - 113858976. Language: English. Entry Date: 20160326. Revision Date: 20160721. Publication Type: Article. Journal Subset: Biomedical AU - Chavalarias, David AU - Wallach, Joshua David AU - Ho Ting Li, Alvin AU - Ioannidis, John P. A. AU - Li, Alvin Ho Ting DA - 2016/03/15/ DB - c8h DO - 10.1001/jama.2016.1952 DP - EBSCOhost IS - 11 J2 - JAMA: Journal of the American Medical Association KW - data mining Funding Source Medline Models, Statistical Probability Scales Ways of Coping Questionnaire L1 - internal-pdf://1251300606/Chavalarias-2016-Evolution of Reporting P Valu.pdf N1 - Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Instrumentation: Ways of Coping Questionnaire (WCQ) (Folkman et al); Clinical Decision Making in Nursing Scale (CDMNS) (Jenkins). Grant Information: //Canadian Institutes of Health Research/Canada. NLM UID: 7501160. PY - 2016 SN - 0098-7484 SP - 1141-1148 ST - Evolution of Reporting P Values in the Biomedical Literature, 1990-2015 T2 - JAMA: Journal of the American Medical Association TI - Evolution of Reporting P Values in the Biomedical Literature, 1990-2015 UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=113858976&scope=site http://jama.jamanetwork.com.ezproxy.lib.vt.edu/data/Journals/JAMA/935101/joi160017.pdf VL - 315 ID - 390 ER - TY - JOUR AB - Background:Health insurance claims data may play an important role for health care systems and payers in monitoring the nonmedical use of prescription opioids (NMPO) among patients. However, these systems require valid methods for identifying NMPO if they are to target individuals for intervention. Limited efforts have been made to define NMPO using administrative data available to health systems and payers. We conducted a systematic review of publications that defined and measured NMPO within health insurance claims databases in order to describe definitions of NMPO and identify areas for improvement.Methods:We searched 8 electronic databases for articles that included terms related to NMPO and health insurance claims. A total of 2613 articles were identified in our search. Titles, abstracts, and article full texts were assessed according to predetermined inclusion/exclusion criteria. Following article selection, we extracted general information, conceptual and operational definitions of NMPO, methods used to validate operational definitions of NMPO, and rates of NMPO.Results:A total of 7 studies met all inclusion criteria. A range of conceptual NMPO definitions emerged, from concrete concepts of abuse to qualified definitions of probable misuse. Operational definitions also varied, ranging from variables that rely on diagnostic codes to those that rely on opioid dosage and/or filling patterns. Quantitative validation of NMPO definitions was reported in 3 studies (e.g., receiver operating curves or logistic regression), with each study indicating adequate validity. Three studies reported qualitative validation, using face and content validity. One study reported no validation efforts. Rates of NMPO among the studies’ populations ranged from 0.75% to 10.32%.Conclusions:Disparate definitions of NMPO emerged from the literature, with little uniformity in conceptualization and operationalization. Validation approaches were also limited, and rates of NMPO varied across studies. Future research should prospectively test and validate a construct of NMPO to disseminate to payers and health officials. AN - 109802176. Language: English. Entry Date: 20150813. Revision Date: 20150923. Publication Type: Journal Article AU - Cochran, Gerald AU - Woo, Bongki AU - Lo-Ciganic, Wei-Hsuan AU - Gordon, Adam J. AU - Donohue, Julie M. AU - Gellad, Walid F. DA - 2015/04// DB - c8h DO - 10.1080/08897077.2014.993491 DP - EBSCOhost IS - 2 J2 - Substance Abuse KW - Analgesics, Opioid -- Administration and Dosage Behavior, Addictive Billing and Claims CINAHL Database Confidence Intervals Content Validity Data Analysis Software Data Mining -- Methods Descriptive Statistics Funding Source Human Insurance, Health -- United States Logistic Regression Medline Odds Ratio Psycinfo PubMed P-Value ROC Curve Self Medication -- Classification Systematic review United States L1 - internal-pdf://3492077147/Cochran-2015-Defining Nonmedical Use of Prescr.pdf N1 - glossary; research; systematic review; tables/charts. Journal Subset: Biomedical; Peer Reviewed; USA. Special Interest: Evidence-Based Practice. Grant Information: Support for this study provided by CDC/NIDA U01CE002496-01 and a VA HSR&D Career Development Award (09-207).. NLM UID: 8808537. PY - 2015 SN - 0889-7077 SP - 192-202 ST - Defining Nonmedical Use of Prescription Opioids Within Health Care Claims: A Systematic Review T2 - Substance Abuse TI - Defining Nonmedical Use of Prescription Opioids Within Health Care Claims: A Systematic Review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=109802176&scope=site https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736503/pdf/nihms752689.pdf VL - 36 ID - 397 ER - TY - JOUR AB - Breast cancer is a menacing cancer, primarily affecting women. Continuous research is going on for detecting breast cancer in the early stage as the possibility of cure in early stages is bright. There are two main objectives of this current study, first establish statistics for breast cancer and second to find methodologies which can be helpful in the early stage detection of the breast cancer based on previous studies. The breast cancer statistics for incidence and mortality of the UK, US, India and Egypt were considered for this study. The finding of this study proved that the overall mortality rates of the UK and US have been improved because of awareness, improved medical technology and screening, but in case of India and Egypt the condition is less positive because of lack of awareness. The methodological findings of this study suggest a combined framework based on data mining and evolutionary algorithms. It provides a strong bridge in improving the classification and detection accuracy of breast cancer data. AU - Dubey, Ashutosh Kumar AU - Gupta, Umesh AU - Jain, Sonal DA - 2015 IS - 10 J2 - Asian Pac J Cancer Prev KW - Breast Neoplasms/*epidemiology/mortality Early Detection of Cancer Egypt/epidemiology Female Great Britain/epidemiology Health Knowledge, Attitudes, Practice Humans Incidence India/epidemiology Prevalence United States/epidemiology L1 - internal-pdf://3797244140/APJCP310731443645000.pdf LA - eng PY - 2015 SN - 1513-7368 1513-7368 SP - 4237-4245 ST - Breast cancer statistics and prediction methodology: a systematic review and analysis T2 - Asian Pacific journal of cancer prevention : APJCP TI - Breast cancer statistics and prediction methodology: a systematic review and analysis VL - 16 ID - 180 ER - TY - JOUR AB - Having surveyed the etymology and previous definitions of the pharmacovigilanceterm ‘signal’, we propose a definition that embraces all the surveyed ideas, reflects real-world pharmacovigilance processes, and accommodates signals of both harmful and beneficial effects. The essential definitional features of a pharmacovigilance signal are (i) that it is based on one or more reports of an association between an intervention or interventions and an event or set of related events (e.g. a syndrome), including any type of evidence (clinical or experimental); (ii) that it represents an association that is new and important and has not been previously investigated and refuted; (iii) that it incites to action (verification and remedial action); (iv) that it does not encompass intervention-event associations that are not related to causality or risk with a specified degree of likelihood and scientific plausibility. Based on these features, we propose this definition of a signal of suspected causality: “information that arises from one or multiple sources (including observations and experiments), which suggests a new potentially causal association, or a new aspect of a known association, between an intervention and an event or set of related events, either adverse or beneficial, which would command regulatory, societal or clinical attention, and is judged to be of sufficient likelihood to justify verificatory and, when necessary, remedial actions.” This defines an unverified signal; we have also defined terms —indeterminate, verified, and refuted signals — that qualify it in relation to verification. This definition and its accompanying flowchart should inform decision making in considering benefits and harms caused by pharmacological and nonpharmacological interventions. “Everybody can make distinctions: it is the lexicographer’s business to make broad definitions which embrace them.” — Dean Liddell AU - Hauben, Manfred AU - Aronson, Jeffrey K. DA - 2009 DP - Google Scholar IS - 2 L1 - internal-pdf://1726956429/art%253A10.2165%252F00002018-200932020-00003.pdf PY - 2009 SP - 99-110 ST - Defining ‘signal’and its subtypes in pharmacovigilance based on a systematic review of previous definitions T2 - Drug safety TI - Defining ‘signal’and its subtypes in pharmacovigilance based on a systematic review of previous definitions UR - http://link.springer.com/article/10.2165/00002018-200932020-00003 VL - 32 Y2 - 2016/09/24/16:03:41 ID - 2406 ER - TY - JOUR AB - Observer bias and other "experimenter effects" occur when researchers' expectations influence study outcome. These biases are strongest when researchers expect a particular result, are measuring subjective variables, and have an incentive to produce data that confirm predictions. To minimize bias, it is good practice to work "blind," meaning that experimenters are unaware of the identity or treatment group of their subjects while conducting research. Here, using text mining and a literature review, we find evidence that blind protocols are uncommon in the life sciences and that nonblind studies tend to report higher effect sizes and more significant p-values. We discuss methods to minimize bias and urge researchers, editors, and peer reviewers to keep blind protocols in mind. AU - Holman, Luke AU - Head, Megan L. AU - Lanfear, Robert AU - Jennions, Michael D. DA - 2015/07//undefined DO - 10.1371/journal.pbio.1002190 IS - 7 J2 - PLoS Biol KW - Biology/*standards/statistics & numerical data Data Collection/*standards/statistics & numerical data data mining L1 - internal-pdf://1510906527/Holman-2015-Evidence of Experimental Bias in t.pdf LA - eng PY - 2015 SN - 1545-7885 1544-9173 SP - e1002190 ST - Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording T2 - PLoS biology TI - Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496034/pdf/pbio.1002190.pdf VL - 13 ID - 278 ER - TY - JOUR AB - BACKGROUND: The health sciences literature incorporates a relatively large subset of epidemiological studies that focus on population-level findings, including various determinants, outcomes and correlations. Extracting structured information about those characteristics would be useful for more complete understanding of diseases and for meta-analyses and systematic reviews. RESULTS: We present an information extraction approach that enables users to identify key characteristics of epidemiological studies from MEDLINE abstracts. It extracts six types of epidemiological characteristic: design of the study, population that has been studied, exposure, outcome, covariates and effect size. We have developed a generic rule-based approach that has been designed according to semantic patterns observed in text, and tested it in the domain of obesity. Identified exposure, outcome and covariate concepts are clustered into health-related groups of interest. On a manually annotated test corpus of 60 epidemiological abstracts, the system achieved precision, recall and F-score between 79-100%, 80-100% and 82-96% respectively. We report the results of applying the method to a large scale epidemiological corpus related to obesity. CONCLUSIONS: The experiments suggest that the proposed approach could identify key epidemiological characteristics associated with a complex clinical problem from related abstracts. When integrated over the literature, the extracted data can be used to provide a more complete picture of epidemiological efforts, and thus support understanding via meta-analysis and systematic reviews. AU - Karystianis, George AU - Buchan, Iain AU - Nenadic, Goran DA - 2014 DO - 10.1186/2041-1480-5-22 J2 - J Biomed Semantics KW - epidemiology Key characteristics Rule-based methodology text mining L1 - internal-pdf://0701539807/Karystianis-2014-Mining characteristics of epi.pdf LA - eng PY - 2014 SN - 2041-1480 SP - 22 ST - Mining characteristics of epidemiological studies from Medline: a case study in obesity T2 - Journal of biomedical semantics TI - Mining characteristics of epidemiological studies from Medline: a case study in obesity UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062908/pdf/2041-1480-5-22.pdf VL - 5 ID - 64 ER - TY - JOUR AB - Strategic management scholars have long emphasized the importance of innovation for a firm's competitive advantage and performance. However, the current state of knowledge about the strategic management of innovation is characterized by conflicting theoretical predictions, persisting knowledge gaps and theoretical inconsistencies. Adopting a ‘systematic’ approach to reviewing the literature, this paper combines different quantitative methods – co-word analysis, cluster analysis and frequency analysis – to review 342 articles on the strategic management of innovation published in seven journals from 1992 to 2010. On the basis of these analyses, suggestions are developed for future research which could help to promote future theory development and provide relevant material for policy decisions that managers and executives have to make when they manage innovation. AU - Keupp, Marcus Matthias AU - Palmié, Maximilian AU - Gassmann, Oliver DA - 2012 DP - Google Scholar IS - 4 L1 - https://www.alexandria.unisg.ch/217966/1/Keupp%20et%20al.%202012%20IJMR.pdf PY - 2012 SP - 367-390 ST - The strategic management of innovation T2 - International Journal of Management Reviews TI - The strategic management of innovation: A systematic review and paths for future research UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2370.2011.00321.x/full VL - 14 Y2 - 2016/09/24/15:39:07 ID - 2370 ER - TY - JOUR AB - Numerous sub-cellular through system-level disturbances have been identified in over 1300 articles examining the superoxide dismutase-1 guanine 93 to alanine (SOD1-G93A) transgenic mouse amyotrophic lateral sclerosis (ALS) pathophysiology. Manual assessment of such a broad literature base is daunting. We performed a comprehensive informatics-based systematic review or 'field analysis' to agnostically compute and map the current state of the field. Text mining of recaptured articles was used to quantify published data topic breadth and frequency. We constructed a nine-category pathophysiological function-based ontology to systematically organize and quantify the field's primary data. Results demonstrated that the distribution of primary research belonging to each category is: systemic measures an motor function, 59%; inflammation, 46%; cellular energetics, 37%; proteomics, 31%; neural excitability, 22%; apoptosis, 20%; oxidative stress, 18%; aberrant cellular chemistry, 14%; axonal transport, 10%. We constructed a SOD1-G93A field map that visually illustrates and categorizes the 85% most frequently assessed sub-topics. Finally, we present the literature-cited significance of frequently published terms and uncover thinly investigated areas. In conclusion, most articles individually examine at least two categories, which is indicative of the numerous underlying pathophysiological interrelationships. An essential future path is examination of cross-category pathophysiological interrelationships and their co-correspondence to homeostatic regulation and disease progression. AU - Kim, Renaid B. AU - Irvin, Cameron W. AU - Tilva, Keval R. AU - Mitchell, Cassie S. DA - 2015 DO - 10.3109/21678421.2015.1047455 IS - 1-2 J2 - Amyotroph Lateral Scler Frontotemporal Degener KW - calcium excitotoxicity gliosis Mitochondria neuropathology protein aggregation reactive oxygen species rotarod L1 - internal-pdf://1101513928/iafd-17-001.pdf LA - eng PY - 2015 SN - 2167-9223 2167-8421 SP - 1-14 ST - State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model T2 - Amyotrophic lateral sclerosis & frontotemporal degeneration TI - State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model VL - 17 ID - 169 ER - TY - JOUR AU - Marinov, Miroslav AU - Mosa, Abu Saleh Mohammad AU - Yoo, Illhoi AU - Boren, Suzanne Austin DA - 2011 DP - Google Scholar IS - 6 L1 - internal-pdf://3450939384/dst-05-1549.pdf PY - 2011 SP - 1549-1556 ST - Data-mining technologies for diabetes T2 - Journal of diabetes science and technology TI - Data-mining technologies for diabetes: a systematic review UR - http://dst.sagepub.com/content/5/6/1549.short http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262726/ VL - 5 Y2 - 2016/09/24/16:03:41 ID - 2412 ER - TY - JOUR AB - Objectives: This project aimed to develop an approach to evaluating information contained in the premodern Traditional Chinese Medicine (TCM) literature that was (1) comprehensive, systematic, and replicable and (2) able to produce quantifiable output that could be used to answer specific research questions in order to identify natural products for clinical and experimental research. Methods: The project involved two stages. In stage 1, 14 TCM collections and compendia were evaluated for suitability as sources for searching; 8 of these were compared in detail. The results were published in the Journal of Alternative and Complementary Medicine. Stage 2 developed a text-mining approach for two of these sources. Results: The text-mining approach was developed for Zhong Hua Yi Dian; Encyclopaedia of Traditional Chinese Medicine, 4th edition) and Zhong Yi Fang Ji Da Ci Dian; Great Compendium of Chinese Medical Formulae). This approach developed procedures for search term selection; methods for screening, classifying, and scoring data; procedures for systematic searching and data extraction; data checking procedures; and approaches for analyzing results. Examples are provided for studies of memory impairment and diabetic nephropathy, and issues relating to data interpretation are discussed. Conclusions: This approach to the analysis of large collections of the premodern TCM literature uses widely available sources and provides a text-mining approach that is systematic, replicable, and adaptable to the requirements of the particular project. Researchers can use these methods to explore changes in the names and conceptions of a disease over time, to identify which therapeutic methods have been more or less frequently used in different eras for particular disorders, and to assist in the selection of natural products for research efforts. AN - 103926758. Language: English. Entry Date: 20141218. Revision Date: 20151201. Publication Type: Journal Article AU - May, Brian H. AU - Zhang, Anthony AU - Lu, Yubo AU - Lu, Chuanjian AU - Xue, Charlie C. L. DA - 2014/12// DB - c8h DO - 10.1089/acm.2013.0372 DP - EBSCOhost IS - 12 J2 - Journal of Alternative & Complementary Medicine KW - Alternative Therapies Citation Analysis Coding Data Mining -- Utilization Descriptive Statistics Drug Design Funding Source Human Literature -- Evaluation Literature Searching -- Methods Medicine, Chinese Traditional -- History Medicine, Chinese Traditional -- Trends Nomenclature Professional Practice, Evidence-Based Reference Books -- Evaluation Systematic review L1 - internal-pdf://0719885385/acm%252E2013%252E0372.pdf N1 - research; systematic review; tables/charts. Journal Subset: Alternative/Complementary Therapies; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Special Interest: Evidence-Based Practice. Grant Information: The project was partially supported by an International Grant from the Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Province, China.. NLM UID: 9508124. PY - 2014 SN - 1075-5535 SP - 937-942 ST - The Systematic Assessment of Traditional Evidence from the Premodern Chinese Medical Literature: A Text-Mining Approach T2 - Journal of Alternative & Complementary Medicine TI - The Systematic Assessment of Traditional Evidence from the Premodern Chinese Medical Literature: A Text-Mining Approach UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103926758&scope=site VL - 20 ID - 391 ER - TY - JOUR AU - Moffet, Howard H. DA - 2009 DP - Google Scholar IS - 3 L1 - https://www.researchgate.net/profile/Howard_Moffet/publication/24144667_Sham_acupuncture_may_be_as_efficacious_as_true_acupuncture_a_systematic_review_of_clinical_trials/links/09e4150a51ae7241ad000000.pdf PY - 2009 SP - 213-216 ST - Sham acupuncture may be as efficacious as true acupuncture T2 - The Journal of Alternative and Complementary Medicine TI - Sham acupuncture may be as efficacious as true acupuncture: a systematic review of clinical trials UR - http://online.liebertpub.com/doi/abs/10.1089/acm.2008.0356 VL - 15 Y2 - 2016/09/24/16:08:30 ID - 2449 ER - TY - JOUR AB - BACKGROUND: Leptospirosis is one of the most widespread zoonotic diseases, which is of global medical and veterinary importance, and also a re-emerging infectious disease. The main tracks of transmission are known; however, the relative importance of each of the components and the respective environmental risk factors are unclear. We aimed to assess and specify quantitative evidence of environmental risks of leptospirosis transmission. METHODS/FINDINGS: A database of pre-selected studies, with publication dates from 1970 until 2008, was provided by an expert group. The database has been updated until 2015 using a text mining algorithm. Study selection was based on stringent quality criteria. A descriptive data analysis was performed to calculate the medians of the log transformed odds ratios. From a selection of 2723 unique publications containing information on leptospirosis, 428 papers dealing with risk factors were identified. Of these, 53 fulfilled the quality criteria, allowing us to identify trends in different geo-climatic regions. Water associated exposures were, with few exceptions, associated with an increased leptospirosis risk. In resource poor countries, floods and rainfall were of particular importance, whereas recreational water activities were more relevant in developed countries. Rodents were associated with increased leptospirosis risk, but the variation among studies was high, which might be partly explained by differences in exposure definition. Livestock contact was commonly associated with increased risk; however, several studies found no association. The median odds ratios associated with dog and cat contacts were close to unity. Sanitation and behavioural risk factors were almost always strongly associated with leptospirosis, although their impact was rarely investigated in Europe or North America. CONCLUSION: This review confirms the complex environmental transmission pathways of leptospirosis, as previously established. Although, floods appeared to be among the most important drivers on islands and in Asia, the consistent pattern observed for exposure to rodents and behavioural and sanitation related risk factors indicate potential areas for intervention. AU - Mwachui, Mwanajaa Abdalla AU - Crump, Lisa AU - Hartskeerl, Rudy AU - Zinsstag, Jakob AU - Hattendorf, Jan DA - 2015 DO - 10.1371/journal.pntd.0003843 IS - 9 J2 - PLoS Negl Trop Dis KW - Animals Behavior Climate Communicable Diseases, Emerging/transmission Environment Geography Humans Leptospirosis/*transmission Risk Factors Zoonoses/*transmission L1 - internal-pdf://0137806862/journal.pntd.0003843.PDF LA - eng PY - 2015 SN - 1935-2735 1935-2727 SP - e0003843 ST - Environmental and Behavioural Determinants of Leptospirosis Transmission: A Systematic Review T2 - PLoS neglected tropical diseases TI - Environmental and Behavioural Determinants of Leptospirosis Transmission: A Systematic Review VL - 9 ID - 179 ER - TY - JOUR AB - Parenting programs have the potential to improve the health and well-being of parents and children. A challenge for providers is to recruit and retain parents in programs. Studies researching engagement with programs have largely focused on providers', policy makers', or researchers' reflections of their experience of parents' participation. We conducted a systematic review of qualitative studies where parents had been asked why they did or did not choose to commence, or complete programs, and compared these perceptions with those of researchers and those delivering programs. We used data-mining techniques to identify relevant studies and summarized findings using framework synthesis methods. Six facilitator and five barrier themes were identified as important influences on participation, with a total of 33 subthemes. Participants focused on the opportunity to learn new skills, working with trusted people, in a setting that was convenient in time and place. Researchers and deliverers focused on tailoring the program to individuals and on the training of staff. Participants and researchers/deliverers therefore differ in their opinions of the most important features of programs that act as facilitators and barriers to engagement and retention. Program developers need to seek the views of both participants and deliverers when evaluating programs. AU - Mytton, Julie AU - Ingram, Jenny AU - Manns, Sarah AU - Thomas, James DA - 2014/04//undefined DO - 10.1177/1090198113485755 IS - 2 J2 - Health Educ Behav KW - *Parent-Child Relations child health Consumer Participation/*psychology Databases, Bibliographic evaluation Family Health Humans parenting Parenting/*psychology Parents/*education/psychology Program Evaluation/methods qualitative methods qualitative research LA - eng PY - 2014 SN - 1552-6127 1090-1981 SP - 127-137 ST - Facilitators and barriers to engagement in parenting programs: a qualitative systematic review T2 - Health education & behavior : the official publication of the Society for Public Health Education TI - Facilitators and barriers to engagement in parenting programs: a qualitative systematic review VL - 41 ID - 183 ER - TY - JOUR AB - BACKGROUND: Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHIs to inform future implementation efforts. METHODS: PubMed, MEDLINE, CINAHL, Embase, Scopus and the ACM Digital Library were searched for English language qualitative studies from 2000 - 2015 that discussed factors affecting engagement and enrolment in a range of DHIs (e.g. 'telemedicine', 'mobile applications', 'personal health record', 'social networking'). Text mining and additional search strategies were used to identify 1,448 records. Two reviewers independently carried out paper screening, quality assessment, data extraction and analysis. Data was analysed using framework synthesis, informed by Normalization Process Theory, and Burden of Treatment Theory helped conceptualise the interpretation of results. RESULTS: Nineteen publications were included in the review. Four overarching themes that affect patient and public engagement and enrolment in DHIs emerged; 1) personal agency and motivation; 2) personal life and values; 3) the engagement and recruitment approach; and 4) the quality of the DHI. The review also summarises engagement and recruitment strategies used. A preliminary DIgital Health EnGagement MOdel (DIEGO) was developed to highlight the key processes involved. Existing knowledge gaps are identified and a number of recommendations made for future research. Study limitations include English language publications and exclusion of grey literature. CONCLUSION: This review summarises and highlights the complexity of digital health engagement and recruitment processes and outlines issues that need to be addressed before patients and the public commit to digital health and it can be implemented effectively. More work is needed to create successful engagement strategies and better quality digital solutions that are personalised where possible and to gain clinical accreditation and endorsement when appropriate. More investment is also needed to improve computer literacy and ensure technologies are accessible and affordable for those who wish to sign up to them. SYSTEMATIC REVIEW REGISTRATION: International Prospective Register of Systematic Reviews CRD42015029846. AU - O'Connor, Siobhan AU - Hanlon, Peter AU - O'Donnell, Catherine A. AU - Garcia, Sonia AU - Glanville, Julie AU - Mair, Frances S. DA - 2016 DO - 10.1186/s12911-016-0359-3 IS - 1 J2 - BMC Med Inform Decis Mak KW - Barrier Digital health eHealth electronic health records Engagement Facilitator mHealth Mobile applications Recruitment Telemedicine L1 - internal-pdf://0356426808/art%253A10.1186%252Fs12911-016-0359-3.pdf LA - eng PY - 2016 SN - 1472-6947 1472-6947 SP - 120 ST - Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies T2 - BMC medical informatics and decision making TI - Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies VL - 16 ID - 90 ER - TY - JOUR AB - BACKGROUND: Major gender differences exist in cardiovascular diseases and lead to different outcomes in women and men. However, attention and incorporation of sex-/gender-specific research might vary among disciplines. We therefore conducted a systematic review comparing publication characteristics and trends between stroke and myocardial infarction (MI) with respect to sex- and gender-related aspects. METHODS: A systematic literature search was performed in PubMed to identify gender-/sex-related articles published for stroke and MI between 1977 and 2008. A specifically designed text mining program was used, and all literature was rated by two independent investigators. Publications were classified according to type of research performed, publication year, funding, geographical location, and gender of first and last authors. RESULTS: 962 articles were retrieved and limited to 405 (42%) gender-relevant publications; 131 on stroke and 274 on MI. Type of performed research differed, especially in disease management, which received little attention (17%) in stroke, while representing the major focus in MI (40%). In both areas, clinical presentation received little attention (3 and 5%). Although publications progressively increased in both fields, an 8- to 10-year time gap emerged for stroke compared to MI. Last authors in both areas were predominantly men, but female last authorship is increasing more significantly over time in the field of stroke. Research on sex and gender differences in MI and stroke is largely underfunded, particularly by the EU. CONCLUSIONS: The data demonstrate how sex-/gender-specific research differs between specialties, most likely due to the diverse interest, funding opportunities and authorship distributions identified. AU - Oertelt-Prigione, Sabine AU - Wiedmann, Silke AU - Endres, Matthias AU - Nolte, Christian H. AU - Regitz-Zagrosek, Vera AU - Heuschmann, Peter DA - 2011 DO - 10.1159/000323258 IS - 4 J2 - Cerebrovasc Dis KW - *Authorship *Bibliometrics *Myocardial Infarction/economics *Stroke/economics Biomedical Research/*trends data mining Female Healthcare Disparities/trends Health Status Disparities Humans Male Periodicals as Topic/*trends Research Support as Topic/economics/*trends Sex Factors Time Factors L1 - internal-pdf://2426206509/fde6cf90600edc159f509fef5a521c3a.pdf LA - eng PY - 2011 SN - 1421-9786 1015-9770 SP - 373-381 ST - Stroke and myocardial infarction: a comparative systematic evaluation of gender-specific analysis, funding and authorship patterns in cardiovascular research T2 - Cerebrovascular diseases (Basel, Switzerland) TI - Stroke and myocardial infarction: a comparative systematic evaluation of gender-specific analysis, funding and authorship patterns in cardiovascular research VL - 31 ID - 309 ER - TY - CONF AB - The purpose of this research is to conduct a comprehensive and systematic review of the literature in the field of 'Supply Chain Risk Management' and identify important research gaps for potential research. Furthermore, a conceptual risk management framework is also proposed that encompasses holistic view of the field. 'Systematic Literature Review' method is used to examine quality articles published over a time period of almost 15 years (2000 - June, 2014). The findings of the study are validated through text mining software. Systematic literature review has identified the progress of research based on various descriptive and thematic typologies. The review and text mining analysis have also provided an insight into major research gaps. Based on the identified gaps, a framework is developed that can help researchers model interdependencies between risk factors. 2015 IEEE. AU - Qazi, Abroon AU - Quigley, John AU - Dickson, Alex C3 - 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, March 3, 2015 - March 5, 2015 DA - 2015 DO - 10.1109/IEOM.2015.7093701 KW - data mining Risk management supply chain management Supply chains L1 - internal-pdf://2442186214/07093701.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - ASQ;-BOEING; Emirates; et al.; IEEE; Lawrence Technological University ST - Supply Chain Risk Management: Systematic literature review and a conceptual framework for capturing interdependencies between risks T3 - IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding TI - Supply Chain Risk Management: Systematic literature review and a conceptual framework for capturing interdependencies between risks UR - http://dx.doi.org/10.1109/IEOM.2015.7093701 ID - 940 ER - TY - JOUR AB - BACKGROUND: Unhealthy diet and low levels of physical activity are common behavioural factors in the aetiology of many non-communicable diseases. Recent years have witnessed an upsurge of policy and research interest in the use of taxes and other economic instruments to improve population health. OBJECTIVE: To assemble, configure and analyse empirical research studies available to inform the public health case for using economic instruments to promote dietary and physical activity behaviour change. METHODS: We conducted a systematic scoping review of evidence for the effects of specific interventions to change, or general exposure to variations in, prices or income on dietary and physical activity behaviours and corollary outcomes. Systematic electronic searches and parallel snowball searches retrieved >1 million study records. Text mining technologies were used to prioritise title-abstract records for screening. Eligible studies were selected, classified and analysed in terms of key characteristics and principal findings, using a narrative, configuring synthesis focused on implications for policy and further research. RESULTS: We identified 880 eligible studies, including 192 intervention studies and 768 studies that incorporated evidence for prices or income as correlates or determinants of target outcomes. Current evidence for the effects of economic instruments and exposures on diet and physical activity is limited in quality and equivocal in terms of its policy implications. Direct evidence for the effects of economic instruments is heavily skewed towards impacts on diet, with a relative lack of evidence for impacts on physical activity. CONCLUSIONS: The evidence-based case for using economic instruments to promote dietary and physical activity behaviour change may be less compelling than some proponents have claimed. Future research should include measurement of people's actual behavioural responses using study designs capable of generating reliable causal inferences regarding intervention effects. Policy implementation needs to be carefully aligned with evaluation planning and design. AU - Shemilt, Ian AU - Hollands, Gareth J. AU - Marteau, Theresa M. AU - Nakamura, Ryota AU - Jebb, Susan A. AU - Kelly, Michael P. AU - Suhrcke, Marc AU - Ogilvie, David DA - 2013 DO - 10.1371/journal.pone.0075070 IS - 9 J2 - PLoS One KW - *Behavior *Motor Activity Commerce Diet/*economics Humans Income L1 - internal-pdf://3278659877/journal.pone.0075070.PDF LA - eng PY - 2013 SN - 1932-6203 1932-6203 SP - e75070 ST - Economic instruments for population diet and physical activity behaviour change: a systematic scoping review T2 - PloS one TI - Economic instruments for population diet and physical activity behaviour change: a systematic scoping review VL - 8 ID - 233 ER - TY - JOUR AB - Fluorine- and chlorine-containing moieties have been strategically integrated into chemical structures to optimize the pharmacokinetic and metabolic properties of therapeutic agents, based partly on the concept that the addition of these substituents may lower microsomal clearance. A large-scale systematic mechanistic study of drug metabolic alteration by aromatic halogenation has hitherto not been possible due to the lack of either large clearance databases or adequate data mining tools. To address this, we systematically searched compound pairs in Pfizer's human liver microsomal clearance database of over 220,000 unique compounds to assess the effects of fluoro-, chloro- and trifluoromethyl-substitution on phenyl derivatives. Although the para-position fluorination and chlorination lowered the microsomal clearance statistically, the substitution at the ortho and meta positions for the studied fluorine- and chlorine-containing moieties dramatically increased the microsomal clearance. More importantly, we found that changes in physicochemical properties, electronic properties, and specific binding of substrates to drug metabolizing enzymes, for instance, cytochrome P450s, are all determining factors that drive the direction of microsomal clearance when a specific series of compounds are studied. AU - Sun, Hao AU - Keefer, Christopher E. AU - Scott, Dennis O. DA - 2011/12//undefined IS - 4 J2 - Drug Metab Lett KW - Catalytic Domain Cytochrome P-450 Enzyme System/chemistry/*metabolism Databases, Factual data mining Drug Design Halogenation Humans Metabolic Clearance Rate Methylation Microsomes, Liver/*enzymology Models, Molecular Molecular Structure Phenols/chemistry/*metabolism/pharmacokinetics Protein Conformation Substrate Specificity LA - eng PY - 2011 SN - 1874-0758 1872-3128 SP - 232-242 ST - Systematic and pairwise analysis of the effects of aromatic halogenation and trifluoromethyl substitution on human liver microsomal clearance T2 - Drug metabolism letters TI - Systematic and pairwise analysis of the effects of aromatic halogenation and trifluoromethyl substitution on human liver microsomal clearance VL - 5 ID - 373 ER - TY - JOUR AB - BACKGROUND: The Early Cancer Detection Consortium is developing a blood-test to screen the general population for early identification of cancer, and has therefore conducted a systematic mapping review to identify blood-based biomarkers that could be used for early identification of cancer. METHODS: A mapping review with a systematic approach was performed to identify biomarkers and establish their state of development. Comprehensive searches of electronic databases Medline, Embase, CINAHL, the Cochrane library and Biosis were conducted in May 2014 to obtain relevant literature on blood-based biomarkers for cancer detection in humans. Screening of retrieved titles and abstracts was performed using an iterative sifting process known as "data mining". All blood based biomarkers, their relevant properties and characteristics, and their corresponding references were entered into an inclusive database for further scrutiny by the Consortium, and subsequent selection of biomarkers for rapid review. This systematic review is registered with PROSPERO (no. CRD42014010827). FINDINGS: The searches retrieved 19,724 records after duplicate removal. The data mining approach retrieved 3990 records (i.e. 20% of the original 19,724), which were considered for inclusion. A list of 814 potential blood-based biomarkers was generated from included studies. Clinical experts scrutinised the list to identify miss-classified and duplicate markers, also volunteering the names of biomarkers that may have been missed: no new markers were identified as a result. This resulted in a final list of 788 biomarkers. INTERPRETATION: This study is the first to systematically and comprehensively map blood biomarkers for early detection of cancer. Use of this rapid systematic mapping approach found a broad range of relevant biomarkers allowing an evidence-based approach to identification of promising biomarkers for development of a blood-based cancer screening test in the general population. AU - Uttley, Lesley AU - Whiteman, Becky L. AU - Woods, Helen Buckley AU - Harnan, Susan AU - Philips, Sian Taylor AU - Cree, Ian A. DA - 2016/08//undefined DO - 10.1016/j.ebiom.2016.07.004 J2 - EBioMedicine KW - Assay Biomarker Blood Cancer Diagnosis Early detection Systematic review L1 - internal-pdf://1350490027/main.pdf LA - eng PY - 2016 SN - 2352-3964 2352-3964 SP - 164-173 ST - Building the Evidence Base of Blood-Based Biomarkers for Early Detection of Cancer: A Rapid Systematic Mapping Review T2 - EBioMedicine TI - Building the Evidence Base of Blood-Based Biomarkers for Early Detection of Cancer: A Rapid Systematic Mapping Review VL - 10 ID - 270 ER - TY - CONF AB - CONTEXT - Software Process Improvement (SPI) initiatives create new and improve existing processes to increase productivity, customer satisfaction, quality of product while reducing cost, and time to market thus maximizing Return on investments. OBJECTIVE - The main focus of this paper is to know about the state of art in SPI and to find out the strength of evidence in empirical work reported within SPI literature. METHOD - Methodology of systematic literature review (SLR) is used. A protocol has been developed and executed. Search strings developed and mentioned in the protocol were applied to the databases to extract relevant papers. A set of papers were identified after reading abstracts of papers extracted after application of search string. A quality criterion was applied on this set to finally select the studies for data extraction. Currently, we are at the data extraction phase of SLR. EXPECTED OUTCOME - The anticipated outcome of this systematic review will be state of art in SPI including widely used tools, models, and techniques; reasons to initiate SPI; SPI challenges/Issues widely reported; the SPI areas which are under more consideration; the SPI areas that lack of attention; frequencies of empirical studies in each of the SPI sub-areas. 2012 IEEE. AU - Zil, E. Huma AU - Bano, Muneera AU - Ikram, Naveed C3 - 15th IEEE International Multitopic Conference, INMIC 2012, December 13, 2012 - December 15, 2012 DA - 2012 DO - 10.1109/INMIC.2012.6511481 KW - Customer satisfaction data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 459-464 ST - Software process improvement: A systematic literature review T3 - 2012 15th International Multitopic Conference, INMIC 2012 TI - Software process improvement: A systematic literature review UR - http://dx.doi.org/10.1109/INMIC.2012.6511481 ID - 676 ER -