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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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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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Heo+S%22">Heo S</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yu+JY%22">Yu JY</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kang+EA%22">Kang EA</searchLink>; Medical Informatics Collaborative Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Shin+H%22">Shin H</searchLink>; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+K%22">Ryu K</searchLink>; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+C%22">Kim C</searchLink>; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Chegal+Y%22">Chegal Y</searchLink>; Department of Statistics, Korea University, Suwon, Korea.<br /><searchLink fieldCode="AU" term="%22Jung+H%22">Jung H</searchLink>; Healthcare AI Team, National Cancer Center, Goyang, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Healthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.<br /><searchLink fieldCode="AU" term="%22Park+RW%22">Park RW</searchLink>; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Hwangbo+Y%22">Hwangbo Y</searchLink>; Healthcare AI Team, National Cancer Center, Goyang, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JH%22">Lee JH</searchLink>; Division of Allergy and Immunology, Department of Internal Medicine, Institute of Allergy, Yonsei University College of Medicine, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Park+YR%22">Park YR</searchLink>; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.
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  Data: <searchLink fieldCode="JN" term="%22101534553%22">Healthcare informatics research</searchLink> [Healthc Inform Res] 2023 Jul; Vol. 29 (3), pp. 246-255. <i>Date of Electronic Publication: </i>2023 Jul 31.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Korean+Society+of+Medical+Informatics%22">Korean Society of Medical Informatics </searchLink><i>Country of Publication: </i>Korea (South) <i>NLM ID: </i>101534553 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2093-3681 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220933681%22">20933681 </searchLink><i>NLM ISO Abbreviation: </i>Healthc Inform Res <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.4258/hir.2023.29.3.246
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        Text: English
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              Text: 2023 Jul
              Type: published
              Y: 2023
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