{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T21:49:31Z","timestamp":1791668971565,"version":"4.3.4"},"reference-count":3,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","internationaljournalofcardiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Cardiology"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ijcard.2026.134728","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T15:20:37Z","timestamp":1786548037000},"page":"134728","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Prediction is not diagnosis: Translating explainable machine learning into OSA screening in HFpEF"],"prefix":"10.1016","volume":"464","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6209-1732","authenticated-orcid":false,"given":"Sefa Erdi","family":"\u00d6m\u00fcr","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4085-8151","authenticated-orcid":false,"given":"\u00c7a\u011fr\u0131","family":"Zorlu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ijcard.2026.134728_bb0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijcard.2025.133993","article-title":"Leveraging explainable machine learning models to predict moderate to severe obstructive sleep apnea in heart failure with preserved ejection fraction patients: a comorbidity perspective","volume":"444","author":"Sun","year":"2026","journal-title":"Int. J. Cardiol."},{"key":"10.1016\/j.ijcard.2026.134728_bb0010","doi-asserted-by":"crossref","first-page":"479","DOI":"10.5664\/jcsm.6506","article-title":"Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine clinical practice guideline","volume":"13","author":"Kapur","year":"2017","journal-title":"J. Clin. Sleep Med."},{"key":"10.1016\/j.ijcard.2026.134728_bb0015","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","volume":"385","author":"Collins","year":"2024","journal-title":"BMJ"}],"container-title":["International Journal of Cardiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167527326005784?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167527326005784?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T21:18:40Z","timestamp":1791667120000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167527326005784"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":3,"alternative-id":["S0167527326005784"],"URL":"https:\/\/doi.org\/10.1016\/j.ijcard.2026.134728","relation":{},"ISSN":["0167-5273"],"issn-type":[{"value":"0167-5273","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prediction is not diagnosis: Translating explainable machine learning into OSA screening in HFpEF","name":"articletitle","label":"Article Title"},{"value":"International Journal of Cardiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijcard.2026.134728","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"134728"}}