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.

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Bibliographic Details
Title: 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.
Authors: 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.
Source: Healthcare informatics research [Healthc Inform Res] 2023 Jul; Vol. 29 (3), pp. 246-255. Date of Electronic Publication: 2023 Jul 31.
Publication Type: Journal Article
Journal Info: Publisher: Korean Society of Medical Informatics Country of Publication: Korea (South) NLM ID: 101534553 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2093-3681 (Print) Linking ISSN: 20933681 NLM ISO Abbreviation: Healthc Inform Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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