{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T12:44:37Z","timestamp":1791377077428,"version":"4.3.2"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Jeffress Trust Award in Interdisciplinary Science"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2875677","type":"journal-article","created":{"date-parts":[[2018,10,12]],"date-time":"2018-10-12T18:48:38Z","timestamp":1539370118000},"page":"65333-65346","source":"Crossref","is-referenced-by-count":139,"title":["Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record"],"prefix":"10.1109","volume":"6","author":[{"given":"Jinghe","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6451-4786","authenticated-orcid":false,"given":"Kamran","family":"Kowsari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James H.","family":"Harrison","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer M.","family":"Lobo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura E.","family":"Barnes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.1515"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.04.066"},{"key":"ref33","author":"torio","year":"2016","journal-title":"National Inpatient Hospital Costs The Most Expensive Conditions by Payer 2013"},{"key":"ref32","author":"lin","year":"2017","journal-title":"A structured self-attentive sentence embedding"},{"key":"ref31","first-page":"3504","article-title":"Retain: An interpretable predictive model for healthcare using reverse time attention mechanism","author":"choi","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref37","author":"ontario","year":"2013","journal-title":"Early identification of people at risk of hospitalization Hospital admission risk prediction (HARP)&#x2014;A new tool for supporting providers and patients"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.4997\/JRCPE.2013.415"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1136\/qshc.2007.023622"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0000000000000171"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24271-9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cardfail.2010.08.010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref13","author":"yogatama","year":"2017","journal-title":"Generative and discriminative text classification with recurrent neural networks"},{"key":"ref14","author":"young","year":"2017","journal-title":"Recent trends in deep learning based natural language processing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73165-0_18"},{"key":"ref16","author":"ghosh","year":"2016","journal-title":"Contextual lstm (clstm) models for large scale nlp tasks"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/info9030056"},{"key":"ref18","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref19","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","volume":"28","author":"pascanu","year":"2013","journal-title":"Proc ICML"},{"key":"ref28","first-page":"301","article-title":"Doctor AI: Predicting clinical events via recurrent neural networks","author":"choi","year":"2016","journal-title":"Proceedings of Machine Learning for Healthcare"},{"key":"ref4","author":"lopez","year":"2017","journal-title":"Deep learning applied to nlp"},{"key":"ref27","article-title":"Mimic-III, a freely accessible critical care database","volume":"3","author":"johnson","year":"2016","journal-title":"Data Science Journal"},{"key":"ref3","author":"howard","year":"2018","journal-title":"Universal language model fine-tuning for text classification"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173987"},{"key":"ref29","first-page":"371","article-title":"Interpretable deep models for ICU outcome prediction","author":"che","year":"2016","journal-title":"Proc AMIA Annu Symp Amer Med Inform Assoc"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref8","author":"kowsari","year":"2018","journal-title":"RMDL Random multimodel deep learning for classification"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-134"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744158"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref20","author":"britz","year":"2015","journal-title":"Recurrent neural network tutorial"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"ref21","first-page":"2204","article-title":"Recurrent models of visual attention","author":"mnih","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","year":"2015","journal-title":"Clinical classifications software (ccs) for icd-9-cm"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-018-0029-1"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1183\/09031936.97.10040822","article-title":"Gender difference in smoking effects on lung function and risk of hospitalization for COPD: Results from a danish longitudinal population study","volume":"10","author":"prescott","year":"1997","journal-title":"Eur Respiratory J"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.30"},{"key":"ref26","author":"che","year":"2016","journal-title":"Recurrent neural networks for multivariate time series with missing values"},{"key":"ref25","author":"lipton","year":"2015","journal-title":"Learning to diagnose with LSTM recurrent neural networks"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08490816.pdf?arnumber=8490816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T23:22:35Z","timestamp":1693956155000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8490816\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2875677","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}