{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T23:02:30Z","timestamp":1782169350854,"version":"3.54.5"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378073","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"4836-4841","source":"Crossref","is-referenced-by-count":43,"title":["Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text"],"prefix":"10.1109","author":[{"given":"Emilien","family":"Arnaud","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahmoud","family":"Elbattah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maxime","family":"Gignon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gilles","family":"Dequen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-1253(20)30076-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/bjs.11670"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref30","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2020.08.010"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1038\/nrg3208","article-title":"Mining electronic health records: towards better research applications and clinical care","volume":"13","author":"jensen","year":"2012","journal-title":"Nature Reviews Genetics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000155"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3414\/ME17-01-0024"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2019.06.008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2020.104146"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooaa022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0201016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1136\/emermed-2017-206673"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2006.tb00204.x"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2006.tb00203.x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2388-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002695"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajem.2018.10.060"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2016-2785"},{"key":"ref29","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/emermed-2014-203819"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/j.1553-2712.2011.01125.x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocz171"},{"key":"ref2","year":"2015","journal-title":"NAMCS\/NHAMCS Ambulatory Health Care Data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2009.08.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-019-2351-7"},{"key":"ref20","author":"bird","year":"2009","journal-title":"Natural Language Processing with Python Analyzing Text with the Natural Language Toolkit"},{"key":"ref22","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc USENIX Symp on Operating System Design and Implementation"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1553-2712.2012.01435.x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(12)62087-X"},{"key":"ref23","article-title":"Keras","author":"chollet","year":"2015","journal-title":"Github Repository"},{"key":"ref26","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"ref25","article-title":"The 2009 Ageing Report: Underlying Assumptions and Projection Methodologies for the EU-27 Member States (2007-2060) (No. 7)","year":"2008","journal-title":"Office for Official Publications of the European Communities"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","location":"Atlanta, GA, USA","start":{"date-parts":[[2020,12,10]]},"end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378073.pdf?arnumber=9378073","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:45:33Z","timestamp":1656344733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378073\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378073","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}