{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T09:19:56Z","timestamp":1763543996006,"version":"3.37.3"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Medical Big Data Project of PLA General Hospital","award":["2018MBD-026"],"award-info":[{"award-number":["2018MBD-026"]}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC0910700"],"award-info":[{"award-number":["2018YFC0910700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFC1001700"],"award-info":[{"award-number":["2017YFC1001700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Major Scientific and Technological Special Project for Significant New Drugs Development of China","award":["2018ZX09J18109-004"],"award-info":[{"award-number":["2018ZX09J18109-004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2956859","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T15:57:18Z","timestamp":1575043038000},"page":"178392-178400","source":"Crossref","is-referenced-by-count":33,"title":["A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2923-958X","authenticated-orcid":false,"given":"Binhua","family":"Wang","sequence":"first","affiliation":[]},{"given":"Kunlun","family":"He","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1724-1428","authenticated-orcid":false,"given":"Yongyi","family":"Bai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6281-1306","authenticated-orcid":false,"given":"Zhenjie","family":"Yao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3033-2204","authenticated-orcid":false,"given":"Jiangong","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6810-1209","authenticated-orcid":false,"given":"Wei","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Yanhui","family":"Tu","sequence":"additional","affiliation":[]},{"given":"Wanguo","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Yaping","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Yifei","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"An overview of multi-task learning in deep neural networks","author":"ruder","year":"2017","journal-title":"ArXiv 1706 05098"},{"key":"ref32","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2767063"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.amjcard.2010.10.056","article-title":"Effect and clinical prediction of worsening renal function in acute decompensated heart failure","volume":"107","author":"tobias","year":"2011","journal-title":"Amer J Cardiol"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcna.2012.07.005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2337752"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.03.020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jchf.2014.04.008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2789898"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1179-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0192726"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1097\/HCO.0000000000000491"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.07.006"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.49"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1054\/jcaf.2002.125289"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/srep26094"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.15420\/cfr.2016:25:2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2004.07.040"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1093\/jamia\/ocw112","article-title":"Using recurrent neural network models for early detection of heart failure onset","volume":"24","author":"choi","year":"2017","journal-title":"J Amer Med Inform Assoc"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2005.11.084"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.105.580506"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2003.07.031"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2016.11.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cardfail.2007.04.008"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ejhf.592"},{"key":"ref20","first-page":"220","article-title":"A multi-task learning framework for joint disease risk prediction and comorbidity discovery","author":"xiang","year":"2014","journal-title":"Proc 22nd Int Conf Pattern Recognit"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1007\/s11633-018-1136-9","article-title":"Applying deep learning to individual and community health monitoring data: A survey","volume":"15","author":"zhen-jie","year":"2018","journal-title":"Int J Autom Comput"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"ref26","first-page":"344","article-title":"Arrhythmia classification from single lead ecg by multi-scale convolutional neural networks","author":"yao","year":"2018","journal-title":"Proc Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2017.8009782"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08918034.pdf?arnumber=8918034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:49Z","timestamp":1641987109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8918034\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2956859","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}