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- Title
prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications.
- Authors
Chen, Zhao; Jiang, Yin; Zhang, Xiaoyu; Zheng, Rui; Qiu, Ruijin; Sun, Yang; Zhao, Chen; Shang, Hongcai
- Abstract
In the previous study, we developed the generalized drug-induced liver injury (DILI) prediction model—ResNet18DNN to predict DILI based on multi-source combined DILI dataset and achieved better performance than that of previously published described DILI prediction models. Recently, we were honored to receive the invitation from the editor to response the Letter to Editor by Liu Zhichao, et al. We were glad that our research has attracted the attention of Liu's team and they has put forward their opinions on our research. In this response to Letter to the Editor, we will respond to these comments.
- Subjects
ARTIFICIAL intelligence; LIVER injuries; DRUG side effects; PREDICTION models; FORECASTING
- Publication
Briefings in Bioinformatics, 2022, Vol 23, Issue 4, p1
- ISSN
1467-5463
- Publication type
Article
- DOI
10.1093/bib/bbac196