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EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes.
Ramakrishnaiah, Yashpal; Macesic, Nenad; Webb, Geoffrey I; Peleg, Anton Y; Tyagi, Sonika.
Afiliación
  • Ramakrishnaiah Y; Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne 3000, VIC, Australia.
  • Macesic N; Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne 3000, VIC, Australia; Centre to Impact AMR, Monash University, Melbourne 3000, VIC, Australia.
  • Webb GI; Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne 3000, VIC, Australia; Centre to Impact AMR, Monash University, Melbourne 3000, VIC, Australia.
  • Peleg AY; Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne 3000, VIC, Australia; Centre to Impact AMR, Monash University, Melbourne 3000, VIC, Australia. Electronic address: anton.peleg@monash.edu.
  • Tyagi S; Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne 3000, VIC, Australia; School of Computing Technologies, RMIT University, Melbourne 3000, VIC, Australia. Electronic address: sonika.tyagi@rmit.edu.au.
J Biomed Inform ; 147: 104509, 2023 11.
Article en En | MEDLINE | ID: mdl-37827477

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Benchmarking / Registros Electrónicos de Salud Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Benchmarking / Registros Electrónicos de Salud Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Australia