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Readmission prediction via deep contextual embedding of clinical concepts.
Xiao, Cao; Ma, Tengfei; Dieng, Adji B; Blei, David M; Wang, Fei.
Affiliation
  • 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.
PLoS One ; 13(4): e0195024, 2018.
Article in En | MEDLINE | ID: mdl-29630604
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Patient Discharge / Patient Readmission / Models, Statistical / Electronic Health Records / Heart Failure Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Patient Discharge / Patient Readmission / Models, Statistical / Electronic Health Records / Heart Failure Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2018 Type: Article Affiliation country: United States