Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study

Research article (BMC Medical Research Methodology, 2024) · cited 19× · AI/ML
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Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study

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Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-in-predicting-drug-induced-liver-injury-among-tuberculosis-patients-model-development-and
MLA “Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-in-predicting-drug-induced-liver-injury-among-tuberculosis-patients-model-development-and.
BibTeX @misc{4ortxyz_interpretable-machine-learning-in-predicting-drug-induced-liver-injury-among-tuberculosis-patients-model-development-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-in-predicting-drug-induced-liver-injury-among-tuberculosis-patients-model-development-and}, note = {Accessed: 2026-05-24}}
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