{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T19:41:44Z","timestamp":1765827704348,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8488991","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["A Time-Sensitive Hybrid Learning Model for Patient Subgrouping"],"prefix":"10.1109","author":[{"given":"Yingchun","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanlu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.23"},{"key":"ref12","first-page":"301","article-title":"Doctor ai: Predicting clinical events via recurrent neural networks","author":"choi","year":"2016","journal-title":"Machine Learning for Healthcare Conference"},{"key":"ref13","article-title":"Retain: An interpretable predictive model for healthcare using reverse time a ention mechanism.(aug. 2016)","author":"choi","year":"2016","journal-title":"arXiv preprint cs LG\/1608 05745"},{"key":"ref14","first-page":"30","article-title":"Deepcare: A deep dynamic memory model for predictive medicine","author":"pham","year":"2016","journal-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097997"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2011.09.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/mds.23346"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.nic.2005.09.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511790942"},{"key":"ref4","first-page":"369","article-title":"Using ehrs for heart failure therapy recommendation using multidimensional patient similarity analytics","volume":"210","author":"panahiazar","year":"2015","journal-title":"Studies in Health Technology and Informatics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/1741-7015-11-194"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-3999(03)00508-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/BIBMW.2010.5703846"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939823"},{"key":"ref7","first-page":"212","article-title":"Spectral clustering strategies for heterogeneous disease expression data","author":"huang","year":"2013","journal-title":"Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing"},{"key":"ref2","first-page":"432","article-title":"Risk prediction with electronic health records: A deep learning approach","author":"cheng","year":"2016","journal-title":"Proceedings SIAM Int Conference on Data Mining"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref1","first-page":"1799","article-title":"Medical prognosis based on patient similarity and expert feedback","author":"wang","year":"2012","journal-title":"Proc IEEE Int Conf Pattern Recognition (ICPR)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2003.033530"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181cb3e25"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2015.0703"},{"key":"ref24","first-page":"598","article-title":"Adas-cog (alzheimer&#x2019;s disease assessment scale-cognitive subscale)-validation of the slovak version","volume":"101","author":"kolibas","year":"2000","journal-title":"Bratislavske Lekarske Listy"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.50.2.318"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2262011600"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08488991.pdf?arnumber=8488991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T02:53:24Z","timestamp":1598237604000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8488991\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8488991","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}