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Corrigendum to: 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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ACKNOWLEDGEMENT This study was supported by the Bio-Industrial Technology Development Program (No. 20014841), funded by the Ministry of Trade, Industry & Energy (MOTIE, South Korea). We would like to thank the MCU (Medical informatics Collaborative Unit) members of Yonsei University College of Medicine for their assistance in data analysis. This study was also supported by a grant from the Korea Institute of Drug Safety and Risk Management in 2021.
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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 Approach강은애, 김청수, 박유랑, 신현아, 유재용, 이수현, 이재현, 정효정, 허순철, 황보율, Kwangsoo Kim, Kyeongmin Ryu, Park Rae Woong, Yebin Chegal대한의료정보학회 · Healthcare Informatics Research2023 · 제29권 제3호Pilot Algorithm Designed to Help Early Detection of HMG-CoA Reductase Inhibitor-Induced Hepatotoxicity김헌성, 최인영, 홍주영대한의료정보학회 · Healthcare Informatics Research2017 · 제23권 제3호Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning김영삼, 박래웅, 박현애, 박호준, 신효필, 전은주대한의료정보학회 · Healthcare Informatics Research2020 · 제26권 제2호Drug-Induced Liver Injury: Pattern Recognition and Future DirectionsEizaburo Sasatomi, Paul H. Hayashi, Tanvir Haque거트앤리버 소화기연관학회협의회 · Gut and Liver2016 · 제10권 제1호A Personalized and Learning Approach for Identifying Drugs with Adverse Events허호, 고우진, 권영옥, 김범석, 신선균, 오옥희, 이정선, 천은경연세대학교의과대학 · Yonsei Medical Journal2017 · 제58권 제6호기계학습 방법을 활용한 Cephalosporins의 피부 이상반응 분석: KAERS DB를 활용한 약물감시 데이터 기반 연구권혜준, 김종윤, 오경선, 이혜원, 임솔하, 최승호한국병원약사회 · 병원약사회지2024 · 제41권 제3호
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