Your browser doesn't support javascript.
loading
Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.
Norgeot, Beau; Glicksberg, Benjamin S; Trupin, Laura; Lituiev, Dmytro; Gianfrancesco, Milena; Oskotsky, Boris; Schmajuk, Gabriela; Yazdany, Jinoos; Butte, Atul J.
Afiliação
  • Norgeot B; Bakar Computational Health Sciences Institute, University of California, San Francisco.
  • Glicksberg BS; Bakar Computational Health Sciences Institute, University of California, San Francisco.
  • Trupin L; Division of Rheumatology, Department of Medicine, University of California, San Francisco.
  • Lituiev D; Bakar Computational Health Sciences Institute, University of California, San Francisco.
  • Gianfrancesco M; Division of Rheumatology, Department of Medicine, University of California, San Francisco.
  • Oskotsky B; Bakar Computational Health Sciences Institute, University of California, San Francisco.
  • Schmajuk G; Division of Rheumatology, Department of Medicine, University of California, San Francisco.
  • Yazdany J; San Francisco Veterans Affairs Medical Center, San Francisco, California.
  • Butte AJ; Division of Rheumatology, Department of Medicine, University of California, San Francisco.
JAMA Netw Open ; 2(3): e190606, 2019 03 01.
Article em En | MEDLINE | ID: mdl-30874779
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Diagnóstico por Computador / Registros Eletrônicos de Saúde / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Diagnóstico por Computador / Registros Eletrônicos de Saúde / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article