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
CONCLUSIONS: Implementing a multicenter-based timeseries classification model provided evidence that could be valuable to clinicians regarding temporal patterns associated with DILI in ARB users. This information supports informed decisions regarding appropriate drug use and treatment strategies.PMID:37591680 | DOI:10.4258/hir.2023.29.3.246 (Source: Cancer Control)
Source: Cancer Control - August 17, 2023 Category: Cancer & Oncology Authors: Suncheol Heo Jae Yong Yu Eun Ae Kang Hyunah Shin Kyeongmin Ryu Chungsoo Kim Yebin Chegal Hyojung Jung Suehyun Lee Rae Woong Park Kwangsoo Kim Yul Hwangbo Jae-Hyun Lee Yu Rang Park Source Type: research
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
CONCLUSIONS: Implementing a multicenter-based timeseries classification model provided evidence that could be valuable to clinicians regarding temporal patterns associated with DILI in ARB users. This information supports informed decisions regarding appropriate drug use and treatment strategies.PMID:37591680 | DOI:10.4258/hir.2023.29.3.246 (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2023 Category: Information Technology Authors: Suncheol Heo Jae Yong Yu Eun Ae Kang Hyunah Shin Kyeongmin Ryu Chungsoo Kim Yebin Chegal Hyojung Jung Suehyun Lee Rae Woong Park Kwangsoo Kim Yul Hwangbo Jae-Hyun Lee Yu Rang Park Source Type: research
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
CONCLUSIONS: Implementing a multicenter-based timeseries classification model provided evidence that could be valuable to clinicians regarding temporal patterns associated with DILI in ARB users. This information supports informed decisions regarding appropriate drug use and treatment strategies.PMID:37591680 | PMC:PMC10440200 | DOI:10.4258/hir.2023.29.3.246 (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2023 Category: Information Technology Authors: Suncheol Heo Jae Yong Yu Eun Ae Kang Hyunah Shin Kyeongmin Ryu Chungsoo Kim Yebin Chegal Hyojung Jung Suehyun Lee Rae Woong Park Kwangsoo Kim Yul Hwangbo Jae-Hyun Lee Yu Rang Park Source Type: research
