{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T21:15:44Z","timestamp":1770153344774,"version":"3.49.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/jbhi.2020.2984931","type":"journal-article","created":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T19:51:36Z","timestamp":1585943496000},"page":"3268-3275","source":"Crossref","is-referenced-by-count":58,"title":["TAPER: Time-Aware Patient EHR Representation"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2187-8379","authenticated-orcid":false,"given":"Sajad","family":"Darabi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0099-3466","authenticated-orcid":false,"given":"Mohammad","family":"Kachuee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2486-3439","authenticated-orcid":false,"given":"Shayan","family":"Fazeli","sequence":"additional","affiliation":[]},{"given":"Majid","family":"Sarrafzadeh","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/0962280213497434"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0677-8"},{"key":"ref31","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"0","journal-title":"Proc NIPS Autodiff Workshop"},{"key":"ref30","first-page":"4601","article-title":"Professor forcing: A new algorithm for training recurrent networks","author":"lamb","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000291"},{"key":"ref10","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939823"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2633963"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2875677"},{"key":"ref15","first-page":"4547","article-title":"MiME: Multilevel medical embedding of electronic health records for predictive healthcare","volume":"31","author":"choi","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5607"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-018-0029-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2014"},{"key":"ref19","first-page":"440","article-title":"Deep EHR: Chronic disease prediction using medical notes","author":"liu","year":"0","journal-title":"Proc Mach Learn Healthcare Conf"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc 3rd Int Conf Learn Repres ICLR 2015"},{"key":"ref4","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume":"26","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref6","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-1909"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/554"},{"key":"ref8","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/aen069"},{"key":"ref9","first-page":"1","article-title":"Learning representations by back-propagating errors","volume":"5","author":"rumelhart","year":"1988","journal-title":"Cognitive Modeling"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-198703000-00005"},{"key":"ref20","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"devlin","year":"0","journal-title":"Proc Conf North Amer Chap Assoc Comput Linguist Human Lang Technol"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0672-0"},{"key":"ref21","article-title":"ClinicalBERT: Modeling clinical notes and predicting hospital readmission","volume":"abs 1904 5342","author":"huang","year":"2019","journal-title":"CoRR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1100"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","article-title":"BioBERT: A pre-trained biomedical language representation model for biomedical text mining","volume":"36","author":"lee","year":"2020","journal-title":"Bioinformatics"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2880403"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9248684\/09056492.pdf?arnumber=9056492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T13:53:58Z","timestamp":1695995638000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9056492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":34,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.2984931","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}