Your browser doesn't support javascript.
loading
Use of unstructured text in prognostic clinical prediction models: a systematic review.
Seinen, Tom M; Fridgeirsson, Egill A; Ioannou, Solomon; Jeannetot, Daniel; John, Luis H; Kors, Jan A; Markus, Aniek F; Pera, Victor; Rekkas, Alexandros; Williams, Ross D; Yang, Cynthia; van Mulligen, Erik M; Rijnbeek, Peter R.
Afiliação
  • Seinen TM; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Fridgeirsson EA; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Ioannou S; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Jeannetot D; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • John LH; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Kors JA; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Markus AF; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Pera V; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Rekkas A; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Williams RD; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Yang C; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • van Mulligen EM; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Rijnbeek PR; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
J Am Med Inform Assoc ; 29(7): 1292-1302, 2022 06 14.
Article em En | MEDLINE | ID: mdl-35475536
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda País de publicação: Reino Unido