{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:17:53Z","timestamp":1769847473865,"version":"3.49.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bibm.2018.8621395","type":"proceedings-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T22:32:01Z","timestamp":1551393121000},"page":"1070-1075","source":"Crossref","is-referenced-by-count":24,"title":["A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions"],"prefix":"10.1109","author":[{"given":"Fenglong","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houping","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Radha","family":"Chitta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2018.2837622"},{"key":"ref11","article-title":"Personalized disease prediction using a cnn-based similarity learning method","author":"suo","year":"2017","journal-title":"BIBM"},{"key":"ref12","article-title":"A multi-task framework for monitoring health conditions via attentionbased recurrent neural networks","author":"suo","year":"2017","journal-title":"AMIA"},{"key":"ref13","article-title":"Muvan: A multi-view attention network for multivariate temporal data","author":"yuan","year":"2018","journal-title":"ICDM IEEE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00063"},{"key":"ref15","article-title":"Enriching word vectors with subword information","author":"bojanowski","year":"2016","journal-title":"arXiv preprint arXiv 1607 04606"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref17","first-page":"655","article-title":"A convolutional neural network for modelling sentences","author":"blunsom","year":"2014","journal-title":"ACL"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref19","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098129"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939823"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271701"},{"key":"ref8","first-page":"3504","article-title":"Retain: An interpretable predictive model for healthcare using reverse time attention mechanism","author":"choi","year":"2016","journal-title":"NIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"ref1","article-title":"Deep learning for healthcare: Review, opportunities and challenges","author":"miotto","year":"2017","journal-title":"Briefings in Bioinformatics p bbx044"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333405"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref22","article-title":"Adadelta: An adaptive learning rate method","author":"zeiler","year":"2012","journal-title":"arXiv preprint arXiv 1212 5701"},{"key":"ref21","article-title":"Theano: A python framework for fast computation of mathematical expressions","author":"team","year":"2016","journal-title":"arXiv preprint arXiv 1605 01584"}],"event":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Madrid, Spain","start":{"date-parts":[[2018,12,3]]},"end":{"date-parts":[[2018,12,6]]}},"container-title":["2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8609864\/8621069\/08621395.pdf?arnumber=8621395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:05:12Z","timestamp":1598223912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8621395\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bibm.2018.8621395","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}