Readmission prediction via deep contextual embedding of clinical concepts.

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Bibliographic Details
Title: Readmission prediction via deep contextual embedding of clinical concepts.
Authors: Xiao C; AI for Healthcare, IBM Research, Cambridge, MA, United States of America., Ma T; IBM T.J. Watson Research Center, Yorktown Heights, NY, United States of America., Dieng AB; Department of Computer Science, Columbia University, New York, NY, United States of America., Blei DM; Department of Computer Science, Columbia University, New York, NY, United States of America., Wang F; Weill Cornell Medical School, Cornell University, New York, NY, United States of America.
Source: PloS one [PLoS One] 2018 Apr 09; Vol. 13 (4), pp. e0195024. Date of Electronic Publication: 2018 Apr 09 (Print Publication: 2018).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0195024