The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications.
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%0 Journal Article
%1 journals/bib/ChenJZZQSZS22a
%A Chen, Zhao
%A Jiang, Yin
%A Zhang, Xiaoyu
%A Zheng, Rui
%A Qiu, Ruijin
%A Sun, Yang
%A Zhao, Chen
%A Shang, Hongcai
%D 2022
%J Briefings Bioinform.
%K dblp
%N 4
%T The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications.
%U http://dblp.uni-trier.de/db/journals/bib/bib23.html#ChenJZZQSZS22a
%V 23
@article{journals/bib/ChenJZZQSZS22a,
added-at = {2022-07-29T00:00:00.000+0200},
author = {Chen, Zhao and Jiang, Yin and Zhang, Xiaoyu and Zheng, Rui and Qiu, Ruijin and Sun, Yang and Zhao, Chen and Shang, Hongcai},
biburl = {https://www.bibsonomy.org/bibtex/2c610e27e9412805bff927c4eec461ce3/dblp},
ee = {https://doi.org/10.1093/bib/bbac196},
interhash = {84727404a803e2e5667677973c21a8bf},
intrahash = {c610e27e9412805bff927c4eec461ce3},
journal = {Briefings Bioinform.},
keywords = {dblp},
number = 4,
timestamp = {2024-04-08T19:23:40.000+0200},
title = {The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications.},
url = {http://dblp.uni-trier.de/db/journals/bib/bib23.html#ChenJZZQSZS22a},
volume = 23,
year = 2022
}
