Your browser doesn't support javascript.
loading
Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach.
Heo, Suncheol; Yu, Jae Yong; Kang, Eun Ae; Shin, Hyunah; Ryu, Kyeongmin; Kim, Chungsoo; Chegal, Yebin; Jung, Hyojung; Lee, Suehyun; Park, Rae Woong; Kim, Kwangsoo; Hwangbo, Yul; Lee, Jae-Hyun; Park, Yu Rang.
Afiliación
  • Heo S; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
  • Yu JY; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
  • Kang EA; Medical Informatics Collaborative Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Korea.
  • Shin H; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.
  • Ryu K; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.
  • Kim C; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Seoul, Korea.
  • Chegal Y; Department of Statistics, Korea University, Suwon, Korea.
  • Jung H; Healthcare AI Team, National Cancer Center, Goyang, Korea.
  • Lee S; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.
  • Park RW; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Seoul, Korea.
  • Kim K; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
  • Hwangbo Y; Healthcare AI Team, National Cancer Center, Goyang, Korea.
  • Lee JH; Division of Allergy and Immunology, Department of Internal Medicine, Institute of Allergy, Yonsei University College of Medicine, Seoul, Korea.
  • Park YR; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
Healthc Inform Res ; 29(3): 246-255, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37591680
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies Idioma: En Revista: Healthc Inform Res Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies Idioma: En Revista: Healthc Inform Res Año: 2023 Tipo del documento: Article