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

OBJECTIVES: The objective of this study was to develop and validate a multicenter-based, multi-model, time-series deep learning model for predicting drug-induced liver injury (DILI) in patients taking angiotensin receptor blockers (ARBs). The study leveraged a national-level multicenter approach, ut...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440200/
https://www.ncbi.nlm.nih.gov/pubmed/37591680
http://dx.doi.org/10.4258/hir.2023.29.3.246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440200/
https://www.ncbi.nlm.nih.gov/pubmed/37591680
http://dx.doi.org/10.4258/hir.2023.29.3.246

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