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Deep representation learning of electronic health records to unlock patient stratification at scale.
Landi, Isotta; Glicksberg, Benjamin S; Lee, Hao-Chih; Cherng, Sarah; Landi, Giulia; Danieletto, Matteo; Dudley, Joel T; Furlanello, Cesare; Miotto, Riccardo.
Afiliación
  • Landi I; Bruno Kessler Institute, Povo, TN Italy.
  • Glicksberg BS; Department of Psychology and Cognitive Science, University of Trento, Rovereto, TN Italy.
  • Lee HC; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Cherng S; Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Landi G; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Danieletto M; Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Dudley JT; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Furlanello C; Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Miotto R; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA.
NPJ Digit Med ; 3: 96, 2020.
Article en En | MEDLINE | ID: mdl-32699826
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2020 Tipo del documento: Article