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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
Chakraborty, Prithwish; Codella, James; Madan, Piyush; Li, Ying; Huang, Hu; Park, Yoonyoung; Yan, Chao; Zhang, Ziqi; Gao, Cheng; Nyemba, Steve; Min, Xu; Basak, Sanjib; Ghalwash, Mohamed; Shahn, Zach; Suryanarayanan, Parthasararathy; Buleje, Italo; Harrer, Shannon; Miller, Sarah; Rajmane, Amol; Walsh, Colin; Wanderer, Jonathan; Reed, Gigi Yuen; Ng, Kenney; Sow, Daby; Malin, Bradley A.
Afiliación
  • Chakraborty P; IBM Research, USA.
  • Codella J; IBM Research, USA.
  • Madan P; IBM Research, USA.
  • Li Y; IBM Research, USA.
  • Huang H; IBM Watson Health, USA.
  • Park Y; IBM Research, USA.
  • Yan C; Vanderbilt University, Nashville, TN, USA.
  • Zhang Z; Vanderbilt University, Nashville, TN, USA.
  • Gao C; Vanderbilt University Medical Center, Nashville, TN, USA.
  • Nyemba S; Vanderbilt University Medical Center, Nashville, TN, USA.
  • Min X; IBM Research, USA.
  • Basak S; IBM Watson Health, USA.
  • Ghalwash M; IBM Research, USA.
  • Shahn Z; IBM Research, USA.
  • Suryanarayanan P; IBM Research, USA.
  • Buleje I; IBM Research, USA.
  • Harrer S; IBM Watson Health, USA.
  • Miller S; IBM Research, USA.
  • Rajmane A; IBM Watson Health, USA.
  • Walsh C; Vanderbilt University, Nashville, TN, USA.
  • Wanderer J; Vanderbilt University, Nashville, TN, USA.
  • Reed GY; IBM Watson Health, USA.
  • Ng K; IBM Watson Health, USA.
  • Sow D; IBM Research, USA.
  • Malin BA; Vanderbilt University, Nashville, TN, USA.
AMIA Jt Summits Transl Sci Proc ; 2021: 132-141, 2021.
Article en En | MEDLINE | ID: mdl-34457127
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos