{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T14:03:27Z","timestamp":1770818607057,"version":"3.50.1"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"vor","delay-in-days":366,"URL":"https:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["j-biomed-inform.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biomedical Informatics"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1016\/j.jbi.2015.02.003","type":"journal-article","created":{"date-parts":[[2015,2,18]],"date-time":"2015-02-18T01:07:17Z","timestamp":1424221637000},"page":"114-120","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":60,"special_numbering":"C","title":["Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes"],"prefix":"10.1016","volume":"54","author":[{"given":"Ben J.","family":"Marafino","sequence":"first","affiliation":[]},{"given":"W.","family":"John Boscardin","sequence":"additional","affiliation":[]},{"given":"R.","family":"Adams Dudley","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"19","key":"10.1016\/j.jbi.2015.02.003_b0005","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","article-title":"A review of feature selection techniques in bioinformatics","volume":"23","author":"Saeys","year":"2007","journal-title":"Bioinformatics"},{"key":"10.1016\/j.jbi.2015.02.003_b0010","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2005","journal-title":"J Machine Learn Res"},{"issue":"20","key":"10.1016\/j.jbi.2015.02.003_b0015","doi-asserted-by":"crossref","first-page":"11462","DOI":"10.1073\/pnas.201162998","article-title":"Predicting the clinical status of human breast cancer by using gene expression profiles","volume":"98","author":"West","year":"2001","journal-title":"Proc Nat Acad Sci USA"},{"key":"10.1016\/j.jbi.2015.02.003_b0230","series-title":"The elements of statistical learning","author":"Hastie","year":"2008"},{"key":"10.1016\/j.jbi.2015.02.003_b0025","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1214\/009053606000001523","article-title":"The Dantzig selector: statistical estimation whenpis much larger thann","volume":"35","author":"Candes","year":"2007","journal-title":"Ann Statist"},{"key":"10.1016\/j.jbi.2015.02.003_b0030","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1136\/jamia.2009.001560","article-title":"Mayo Clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications","volume":"17","author":"Savova","year":"2010","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.jbi.2015.02.003_b0035","article-title":"Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements","author":"Khor","year":"2013","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.jbi.2015.02.003_b0040","doi-asserted-by":"crossref","DOI":"10.1136\/amiajnl-2014-002694","article-title":"N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit","author":"Marafino","year":"2014","journal-title":"J Am Med Info Assoc"},{"key":"10.1016\/j.jbi.2015.02.003_b0045","doi-asserted-by":"crossref","unstructured":"Variable selection: current practice in epidemiological studies. Eur J Epidemiol 2009;24(12):733\u20136.","DOI":"10.1007\/s10654-009-9411-2"},{"key":"10.1016\/j.jbi.2015.02.003_b0050","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1111\/j.1365-2656.2006.01141.x","article-title":"Why do we still use stepwise modelling in ecology and behaviour?","volume":"75","author":"Whittingham","year":"2006","journal-title":"J Anim Ecol"},{"key":"10.1016\/j.jbi.2015.02.003_b0055","series-title":"Subset selection in regression","author":"Miller","year":"1990"},{"key":"10.1016\/j.jbi.2015.02.003_b0060","first-page":"32","article-title":"The analysis and selection of variables in linear regression","author":"Hocking","year":"1976","journal-title":"Biometrics"},{"issue":"2","key":"10.1016\/j.jbi.2015.02.003_b0065","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zhou","year":"2005","journal-title":"J R Statist Soc B"},{"key":"10.1016\/j.jbi.2015.02.003_b0070","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","article-title":"Ridge regression: biased estimation for nonorthogonal problems","volume":"12","author":"Hoerl","year":"1970","journal-title":"Technometrics"},{"issue":"1","key":"10.1016\/j.jbi.2015.02.003_b0075","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1994","journal-title":"J R Statist Soc B"},{"key":"10.1016\/j.jbi.2015.02.003_b0080","series-title":"Convex optimization","author":"Boyd","year":"2004"},{"key":"10.1016\/j.jbi.2015.02.003_b0085","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","article-title":"Least angle regression","volume":"32","author":"Efron","year":"2004","journal-title":"Ann Stat"},{"key":"10.1016\/j.jbi.2015.02.003_b0090","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.jco.2009.01.002","article-title":"Elastic net regularization in learning theory","volume":"25","author":"Mol","year":"2009","journal-title":"J Complex"},{"key":"10.1016\/j.jbi.2015.02.003_b0095","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1136\/amiajnl-2012-001576","article-title":"Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions","volume":"20","author":"Wright","year":"2013","journal-title":"J Am Med Info Assoc"},{"key":"10.1016\/j.jbi.2015.02.003_b0100","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.jbi.2013.06.014","article-title":"Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management","volume":"46","author":"Garla","year":"2013","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.003_b0105","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.jbi.2014.08.006","article-title":"The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions","volume":"52","author":"Walsh","year":"2014","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.003_b0110","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1097\/CCM.0b013e31820a92c6","article-title":"Multiparameter intelligent monitoring in intensive care II (MIMIC-II): a public-access ICU database","volume":"39","author":"Saeed","year":"2011","journal-title":"Crit Care Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0115","doi-asserted-by":"crossref","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","volume":"101","author":"Goldberger","year":"2000","journal-title":"Circulation"},{"key":"10.1016\/j.jbi.2015.02.003_b0120","first-page":"2825","article-title":"Scikit-learn: machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"10.1016\/j.jbi.2015.02.003_b0125","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/1471-2105-7-91","article-title":"Bias in error estimation when using cross-validation for model selection","volume":"7","author":"Varma","year":"2006","journal-title":"BMC Bioinform"},{"key":"10.1016\/j.jbi.2015.02.003_b0130","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1097\/00003246-198411000-00012","article-title":"A simplified acute physiology score for ICU patients","volume":"12","author":"Le Gall","year":"1984","journal-title":"Crit Care Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0135","series-title":"Applied logistic regression","author":"Hosmer","year":"2013"},{"key":"10.1016\/j.jbi.2015.02.003_b0140","unstructured":"McMahan HB. Follow-the-regularized-leader and mirror descent: equivalence theorems and L1 regularization. In: Proceedings of the 14th international conference on artificial intelligence and statistics (AISTATS); 2011."},{"key":"10.1016\/j.jbi.2015.02.003_b0145","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1177\/0272989X8900900207","article-title":"How well can physicians estimate mortality in a medical intensive care unit?","volume":"9","author":"McClish","year":"1989","journal-title":"Med Decis Making"},{"key":"10.1016\/j.jbi.2015.02.003_b0150","first-page":"505","article-title":"Risk stratification of ICU patients using topic models inferred from unstructured progress notes","volume":"2012","author":"Lehman","year":"2012","journal-title":"AMIA Annu Symp Proc"},{"issue":"476","key":"10.1016\/j.jbi.2015.02.003_b0155","first-page":"1566","article-title":"Hierarchical Dirichlet processes","volume":"101","author":"Teh","year":"2005","journal-title":"J Acoust Soc Am"},{"key":"10.1016\/j.jbi.2015.02.003_b0160","unstructured":"Moore RC, Denero J. L1 and L2 regularization for multiclass hinge loss models. In: Symposium on machine learning in speech and natural language processing; 2011."},{"key":"10.1016\/j.jbi.2015.02.003_b0165","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1007\/BF01709751","article-title":"The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction\/failure. On behalf of the working group on sepsis-related problems of the European Society of Intensive Care Medicine","volume":"22","author":"Vincent","year":"1996","journal-title":"Intensive Care Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0170","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1056\/NEJM199502093320601","article-title":"A comparison of four methods of weaning patients from mechanical ventilation","volume":"332","author":"Esteban","year":"1995","journal-title":"N Engl J Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0175","doi-asserted-by":"crossref","first-page":"2233","DOI":"10.1056\/NEJMra1203367","article-title":"Weaning patients from the ventilator","volume":"367","author":"McConville","year":"2012","journal-title":"N Engl J Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0180","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1378\/chest.100.6.1619","article-title":"The APACHE III prognostic system: risk prediction of hospital mortality for critically ill hospitalized adults","volume":"100","author":"Knaus","year":"1991","journal-title":"Chest"},{"key":"10.1016\/j.jbi.2015.02.003_b0185","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1097\/01.CCM.0000257337.63529.9F","article-title":"Assessing contemporary intensive care unit outcome: an updated mortality probability admission model (MPM0-III)","volume":"35","author":"Higgins","year":"2007","journal-title":"Crit Care Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0190","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.1378\/chest.07-3061","article-title":"Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders","volume":"133","author":"Kuzniewicz","year":"2008","journal-title":"Chest"},{"key":"10.1016\/j.jbi.2015.02.003_b0195","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1097\/CCM.0b013e318206b3af","article-title":"The effect of race and ethnicity on outcomes among patients in the intensive care unit: a comprehensive study involving socioeconomic status and resuscitation preferences","volume":"39","author":"Erickson","year":"2011","journal-title":"Crit Care Med"},{"key":"10.1016\/j.jbi.2015.02.003_b0200","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.jbi.2014.11.002","article-title":"Portable automatic text classification for adverse drug reaction detection via multi-corpus training","volume":"53","author":"Sarker","year":"2015","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.003_b0205","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.jbi.2009.09.001","article-title":"Current issues in biomedical text mining and natural language processing","volume":"42","author":"Chapman","year":"2009","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jbi.2015.02.003_b0210","first-page":"551","article-title":"Translating biology: text mining tools that work","volume":"13","author":"Cohen","year":"2008","journal-title":"Pac Symp Biocomput"},{"key":"10.1016\/j.jbi.2015.02.003_b0215","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/MCAS.2006.1688199","article-title":"Ensemble-based systems in decision making","volume":"6","author":"Polikar","year":"2006","journal-title":"IEEE Circ Syst"},{"key":"10.1016\/j.jbi.2015.02.003_b0220","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1162\/neco.1991.3.1.79","article-title":"Adaptive mixtures of local experts","volume":"3","author":"Jacobs","year":"1991","journal-title":"Neural Comput"},{"key":"10.1016\/j.jbi.2015.02.003_b0225","series-title":"Combining pattern classifiers: methods and algorithms","author":"Kuncheva","year":"2005"}],"container-title":["Journal of Biomedical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046415000210?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046415000210?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T07:51:19Z","timestamp":1717746679000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1532046415000210"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":45,"alternative-id":["S1532046415000210"],"URL":"https:\/\/doi.org\/10.1016\/j.jbi.2015.02.003","relation":{},"ISSN":["1532-0464"],"issn-type":[{"value":"1532-0464","type":"print"}],"subject":[],"published":{"date-parts":[[2015,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes","name":"articletitle","label":"Article Title"},{"value":"Journal of Biomedical Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jbi.2015.02.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2015 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}