Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints

Figure 2

AUC values of different sets of features and DILI endpoints using random forest for drugs in the DrugDex database during 10-fold cross-validations. In the table, each row represents a set of drug features, each column represents a DILI endpoint and the negative sample set (NSap1 vs. NSap2), and each cell represents an AUC value (colored by its value). For DrugDex, there are seven DILI endpoints (fatal hADRs, liver failure, liver transplantation, jaundice, biomarker increase, hepatomegaly, and hepatitis). They were categorized as “severe hADRs” and “less severe hADRs.”. “All hADRs” include all DILI endpoints.