{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T22:52:39Z","timestamp":1791586359328,"version":"4.3.4"},"reference-count":23,"publisher":"Elsevier BV","issue":"18","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"vor","delay-in-days":391,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jacc.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["JACC: Cardiovascular Interventions"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1016\/j.jcin.2021.06.039","type":"journal-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T15:00:59Z","timestamp":1632150059000},"page":"2027-2036","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":60,"title":["Machine Learning Identifies Clinical Parameters to Predict Mortality in Patients Undergoing Transcatheter Mitral\u00a0Valve Repair"],"prefix":"10.1016","volume":"14","author":[{"given":"Elric","family":"Zweck","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian","family":"Spieker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Horn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christos","family":"Iliadis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clemens","family":"Metze","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Refik","family":"Kavsur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vedat","family":"Tiyerili","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georg","family":"Nickenig","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephan","family":"Baldus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Malte","family":"Kelm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc Ulrich","family":"Becher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman","family":"Pfister","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ralf","family":"Westenfeld","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jcin.2021.06.039_bib1","doi-asserted-by":"crossref","first-page":"2297","DOI":"10.1056\/NEJMoa1805374","article-title":"Percutaneous repair or medical treatment for secondary mitral regurgitation","volume":"379","author":"Obadia","year":"2018","journal-title":"N\u00a0Engl J Med"},{"key":"10.1016\/j.jcin.2021.06.039_bib2","doi-asserted-by":"crossref","first-page":"2739","DOI":"10.1093\/eurheartj\/ehx391","article-title":"2017 ESC\/EACTS guidelines for the management of valvular heart disease","volume":"38","author":"Baumgartner","year":"2017","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jcin.2021.06.039_bib3","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1056\/NEJMoa1806640","article-title":"Transcatheter mitral-valve repair in patients with heart failure","volume":"379","author":"Stone","year":"2018","journal-title":"N\u00a0Engl J Med"},{"key":"10.1016\/j.jcin.2021.06.039_bib4","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1016\/j.amjcard.2017.01.024","article-title":"A\u00a0risk model for prediction of 1-year mortality in patients undergoing MitraClip implantation","volume":"119","author":"Buccheri","year":"2017","journal-title":"Am J Cardiol"},{"key":"10.1016\/j.jcin.2021.06.039_bib5","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1161\/CIRCOUTCOMES.109.854877","article-title":"A\u00a0validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program","volume":"3","author":"Peterson","year":"2010","journal-title":"Circ Cardiovasc Qual Outcomes"},{"key":"10.1016\/j.jcin.2021.06.039_bib6","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.1016\/j.jacc.2017.09.015","article-title":"Outcomes with transcatheter mitral valve repair in the United States: an STS\/ACC TVT Registry report","volume":"70","author":"Sorajja","year":"2017","journal-title":"J\u00a0Am Coll Cardiol"},{"key":"10.1016\/j.jcin.2021.06.039_bib7","doi-asserted-by":"crossref","first-page":"2657","DOI":"10.1016\/j.jacc.2017.03.571","article-title":"Artificial intelligence in precision cardiovascular medicine","volume":"69","author":"Krittanawong","year":"2017","journal-title":"J\u00a0Am Coll Cardiol"},{"key":"10.1016\/j.jcin.2021.06.039_bib8","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1093\/eurheartj\/ehz902","article-title":"Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score","volume":"41","author":"Tokodi","year":"2020","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jcin.2021.06.039_bib9","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1161\/CIRCHEARTFAILURE.113.000659","article-title":"Predictive models in heart failure: who cares?","volume":"6","author":"Califf","year":"2013","journal-title":"Circ Heart Fail"},{"key":"10.1016\/j.jcin.2021.06.039_bib10","doi-asserted-by":"crossref","first-page":"2562","DOI":"10.1016\/j.jcin.2019.08.045","article-title":"Prognostic value of the CHA2DS2-VASc score in patients undergoing the MitraClip procedure","volume":"12","author":"Spieker","year":"2019","journal-title":"J\u00a0Am Coll Cardiol Intv"},{"key":"10.1016\/j.jcin.2021.06.039_bib11","first-page":"61","article-title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood","volume":"10","author":"Platt","year":"1999","journal-title":"Adv Large Margin Classifiers"},{"key":"10.1016\/j.jcin.2021.06.039_bib12","first-page":"2825","article-title":"scikit-learn: machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J\u00a0Machine Learn Res"},{"key":"10.1016\/j.jcin.2021.06.039_bib13","series-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"785","article-title":"XGBoost: a scalable tree boosting system","author":"Chen","year":"2016"},{"key":"10.1016\/j.jcin.2021.06.039_bib14","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2020.12892","article-title":"Internal and external validation of a machine learning risk score for acute kidney injury","volume":"3","author":"Churpek","year":"2020","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.jcin.2021.06.039_bib15","doi-asserted-by":"crossref","first-page":"4367","DOI":"10.1093\/eurheartj\/ehaa964","article-title":"A\u00a0fresh look at ischaemic heart disease: from artificial intelligence to reappraisal of old drugs","volume":"41","author":"Crea","year":"2020","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jcin.2021.06.039_bib16","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.eswa.2017.04.003","article-title":"An up-to-date comparison of state-of-the-art classification algorithms","volume":"82","author":"Zhang","year":"2017","journal-title":"Exp Systems Appl"},{"key":"10.1016\/j.jcin.2021.06.039_bib17","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1093\/ejcts\/ezs043","article-title":"EuroSCORE II","volume":"41","author":"Nashef","year":"2012","journal-title":"Eur J Cardiothorac Surg"},{"key":"10.1016\/j.jcin.2021.06.039_bib18","doi-asserted-by":"crossref","unstructured":"Iliadis C, Spieker M, Kavsur R, et\u00a0al. \u201cGet With the Guidelines Heart\u00a0Failure risk score\u201d for mortality prediction in patients undergoing MitraClip. Clin Res Cardiol. Published online Jan 31, 2021. http:\/\/doi.org\/10.1007\/s00392-021-01804-3.","DOI":"10.1007\/s00392-021-01804-3"},{"key":"10.1016\/j.jcin.2021.06.039_bib19","article-title":"Clinical significance of Get With the Guidelines-Heart Failure risk score in patients with chronic heart failure after hospitalization","volume":"7","author":"Suzuki","year":"2018","journal-title":"J\u00a0Am Heart Assoc"},{"key":"10.1016\/j.jcin.2021.06.039_bib20","article-title":"Predictive value of the Get With the Guidelines Heart\u00a0Failure risk score in unselected cardiac intensive care unit patients","volume":"9","author":"Lyle","year":"2020","journal-title":"J\u00a0Am Heart Assoc"},{"key":"10.1016\/j.jcin.2021.06.039_bib21","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.amjcard.2014.09.051","article-title":"Comparison of three contemporary surgical scores for predicting all-cause mortality of patients undergoing percutaneous mitral valve repair with the MitraClip system (from the multicenter GRASP-IT registry)","volume":"115","author":"Adamo","year":"2015","journal-title":"Am J Cardiol"},{"key":"10.1016\/j.jcin.2021.06.039_bib22","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ijcard.2018.08.023","article-title":"Long-term outcome, survival and predictors of mortality after MitraClip therapy: results from the German Transcatheter Mitral Valve Interventions (TRAMI) registry","volume":"277","author":"Kalbacher","year":"2019","journal-title":"Int J Cardiol"},{"key":"10.1016\/j.jcin.2021.06.039_bib23","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1161\/CIRCULATIONAHA.117.031733","article-title":"One-year outcomes after MitraClip for functional mitral regurgitation","volume":"139","author":"Ailawadi","year":"2019","journal-title":"Circulation"}],"container-title":["JACC: Cardiovascular Interventions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936879821013352?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936879821013352?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:14:50Z","timestamp":1761848090000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1936879821013352"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":23,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["S1936879821013352"],"URL":"https:\/\/doi.org\/10.1016\/j.jcin.2021.06.039","relation":{},"ISSN":["1936-8798"],"issn-type":[{"value":"1936-8798","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine Learning Identifies Clinical Parameters to Predict Mortality in Patients Undergoing Transcatheter Mitral\u00a0Valve Repair","name":"articletitle","label":"Article Title"},{"value":"JACC: Cardiovascular Interventions","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jcin.2021.06.039","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 by the American College of Cardiology Foundation. Published by Elsevier.","name":"copyright","label":"Copyright"}]}}