Your browser doesn't support javascript.
loading
Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults.
Afshar, Majid; Adelaine, Sabrina; Resnik, Felice; Mundt, Marlon P; Long, John; Leaf, Margaret; Ampian, Theodore; Wills, Graham J; Schnapp, Benjamin; Chao, Michael; Brown, Randy; Joyce, Cara; Sharma, Brihat; Dligach, Dmitriy; Burnside, Elizabeth S; Mahoney, Jane; Churpek, Matthew M; Patterson, Brian W; Liao, Frank.
Afiliação
  • Afshar M; University of Wisconsin - Madison, Madison, WI, United States.
  • Adelaine S; University of Wisconsin - Madison, Madison, WI, United States.
  • Resnik F; University of Wisconsin - Madison, Madison, WI, United States.
  • Mundt MP; University of Wisconsin - Madison, Madison, WI, United States.
  • Long J; University of Wisconsin - Madison, Madison, WI, United States.
  • Leaf M; University of Wisconsin - Madison, Madison, WI, United States.
  • Ampian T; University of Wisconsin - Madison, Madison, WI, United States.
  • Wills GJ; University of Wisconsin - Madison, Madison, WI, United States.
  • Schnapp B; University of Wisconsin - Madison, Madison, WI, United States.
  • Chao M; University of Wisconsin - Madison, Madison, WI, United States.
  • Brown R; University of Wisconsin - Madison, Madison, WI, United States.
  • Joyce C; Loyola University Chicago, Chicago, IL, United States.
  • Sharma B; University of Wisconsin - Madison, Madison, WI, United States.
  • Dligach D; Loyola University Chicago, Chicago, IL, United States.
  • Burnside ES; University of Wisconsin - Madison, Madison, WI, United States.
  • Mahoney J; University of Wisconsin - Madison, Madison, WI, United States.
  • Churpek MM; University of Wisconsin - Madison, Madison, WI, United States.
  • Patterson BW; University of Wisconsin - Madison, Madison, WI, United States.
  • Liao F; University of Wisconsin - Madison, Madison, WI, United States.
JMIR Med Inform ; 11: e44977, 2023 Apr 20.
Article em En | MEDLINE | ID: mdl-37079367
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos