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Trends and opportunities in computable clinical phenotyping: A scoping review.
He, Ting; Belouali, Anas; Patricoski, Jessica; Lehmann, Harold; Ball, Robert; Anagnostou, Valsamo; Kreimeyer, Kory; Botsis, Taxiarchis.
Afiliación
  • He T; Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: the14@jh.edu.
  • Belouali A; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Patricoski J; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Lehmann H; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Ball R; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US FDA, Silver Spring, MD, USA.
  • Anagnostou V; Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kreimeyer K; Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Botsis T; Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Biomedical Informatics and Data Science Section, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: tbotsis1@jhmi.edu.
J Biomed Inform ; 140: 104335, 2023 04.
Article en En | MEDLINE | ID: mdl-36933631
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies / Systematic_reviews Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies / Systematic_reviews Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos