Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study
The objective of this research was to create and validate an interpretable prediction model for drug-induced liver injury (DILI) during tuberculosis (TB) treatment.
Source: BMC Medical Research Methodology - Category: Research Authors: Yue Xiao, Yanfei Chen, Ruijian Huang, Feng Jiang, Jifang Zhou and Tianchi Yang Tags: Research Source Type: research
More News: Learning | Liver | Research | Study | Tuberculosis | Universities & Medical Training | Urology & Nephrology