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R: A language and environment for statistical computing.: R Foundation for Statistical Computing, Vienna, Austria.; 2018. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/www.R-project.org\/\" xlink:type=\"simple\">http:\/\/www.R-project.org\/<\/ext-link>."},{"issue":"1","key":"ref30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"J Friedman","year":"2010","journal-title":"J Stat Softw"},{"key":"ref31","unstructured":"Chen TH, Benesty M, Khotilovich V, Tang Y. xgboost: Extreme Gradient Boosting. R package version 0.6\u20134. 2017. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/CRAN.R-project.org\/package=xgboost\" xlink:type=\"simple\">https:\/\/CRAN.R-project.org\/package=xgboost<\/ext-link>"},{"key":"ref32","unstructured":"Siegert S. Specsverification: forecast verification routines for ensemble forecasts of weather and climate. R package version 0.5\u20132. 2017. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/CRAN.R-project.org\/package=SpecsVerification\" xlink:type=\"simple\">https:\/\/CRAN.R-project.org\/package=SpecsVerification<\/ext-link>."},{"issue":"7","key":"ref33","first-page":"1393","article-title":"A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation","volume":"44","author":"R Mehran","year":"2004","journal-title":"J Am Coll Cardiol"},{"key":"ref34","unstructured":"Gauher S, Uz FB. Cleveland Clinic to identify at-risk patients in ICU using cortana intelligence. 2016 Sept 26. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/blogs.technet.microsoft.com\/machinelearning\/2016\/09\/26\/cleveland-clinic-to-identify-at-risk-patients-in-icu-using-cortana-intelligence-suite\/\" xlink:type=\"simple\">https:\/\/blogs.technet.microsoft.com\/machinelearning\/2016\/09\/26\/cleveland-clinic-to-identify-at-risk-patients-in-icu-using-cortana-intelligence-suite\/<\/ext-link>."},{"key":"ref35","doi-asserted-by":"crossref","first-page":"h1302","DOI":"10.1136\/bmj.h1302","article-title":"Precision medicine to improve use of bleeding avoidance strategies and reduce bleeding in patients undergoing percutaneous coronary intervention: prospective cohort study before and after implementation of personalized bleeding risks","volume":"350","author":"JA Spertus","year":"2015","journal-title":"BMJ"},{"issue":"18","key":"ref36","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1016\/j.jacc.2013.02.017","article-title":"Pre-procedural estimate of individualized bleeding risk impacts physicians&apos; utilization of bivalirudin during percutaneous coronary intervention","volume":"61","author":"S Rao","year":"2013","journal-title":"J Am Coll Cardiol"},{"issue":"4","key":"ref37","doi-asserted-by":"crossref","first-page":"e005733","DOI":"10.1161\/JAHA.117.005733","article-title":"Novel patient-centered approach to facilitate same-day discharge in patients undergoing elective percutaneous coronary intervention","volume":"7","author":"AP Amin","year":"2018","journal-title":"J Am Heart Assoc"},{"issue":"1","key":"ref38","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.jclinepi.2007.04.018","article-title":"Updating methods improved the performance of a clinical prediction model in new patients","volume":"61","author":"KJ Janssen","year":"2008","journal-title":"J Clin Epidemiol"},{"issue":"1","key":"ref39","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1177\/0962280215626466","article-title":"A review of statistical updating methods for clinical prediction models","volume":"27","author":"TL Su","year":"2018","journal-title":"Stat Methods Med Res"}],"container-title":["PLOS Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pmed.1002703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T16:19:32Z","timestamp":1720801172000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pmed.1002703"}},"subtitle":[],"editor":[{"given":"Kazem","family":"Rahimi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2018,11,27]]},"references-count":39,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11,27]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pmed.1002703","relation":{},"ISSN":["1549-1676"],"issn-type":[{"value":"1549-1676","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,27]]}}}