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Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer.
Parikh, Ravi B; Hasler, Jill S; Zhang, Yichen; Liu, Manqing; Chivers, Corey; Ferrell, William; Gabriel, Peter E; Lerman, Caryn; Bekelman, Justin E; Chen, Jinbo.
Afiliación
  • Parikh RB; Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Hasler JS; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Zhang Y; Penn Center for Cancer Care Innovation, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA.
  • Liu M; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.
  • Chivers C; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
  • Ferrell W; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, Philadelphia, PA.
  • Gabriel PE; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.
  • Lerman C; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Bekelman JE; Penn Medicine, University of Pennsylvania, Philadelphia, PA.
  • Chen J; Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
JCO Clin Cancer Inform ; 6: e2200073, 2022 12.
Article en En | MEDLINE | ID: mdl-36480775
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JCO Clin Cancer Inform Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JCO Clin Cancer Inform Año: 2022 Tipo del documento: Article