{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T17:07:58Z","timestamp":1748452078426},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/bigdata47090.2019.9006331","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T06:05:34Z","timestamp":1582610734000},"page":"6166-6168","source":"Crossref","is-referenced-by-count":8,"title":["Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model"],"prefix":"10.1109","author":[{"given":"Pin","family":"Ni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuming","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junkun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenjin","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gangmin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuming","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Text classification using capsules","author":"kim","year":"2019","journal-title":"Neurocomputing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1120"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1348"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621408"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.4018\/IJTHI.2019070104"},{"journal-title":"Bi-gru capsule networks for student answers assessment","year":"0","author":"khayi","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01012-6_6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.01.010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2009.07.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000464"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2009.08.007"},{"key":"ref8","first-page":"2990","article-title":"Group equivariant convolutional networks","author":"cohen","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref7","article-title":"Learning to diagnose with lstm recurrent neural networks","author":"lipton","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-10-70"},{"key":"ref1","first-page":"3856","article-title":"Dynamic routing between capsules in","author":"sabour","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref9","first-page":"73","article-title":"Multi-task prediction of disease onsets from longitudinal laboratory tests","author":"razavian","year":"2016","journal-title":"Machine Learning for Healthcare Conference"}],"event":{"name":"2019 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2019,12,9]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8986695\/9005444\/09006331.pdf?arnumber=9006331","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:52:00Z","timestamp":1658094720000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006331\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bigdata47090.2019.9006331","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}