Machine Learning for Predicting Hyperglycemic Cases Induced by PD-1/PD-L1 Inhibitors

Figure 1

Flow chart of study process. Step 1: original data fixed into raw data and complete data. Step 2: core SVM algorithm selection. Step 3: adjustment of parameters in 70% complete data to set up model using 3 × 10 cross validation and parameter composition. Analysis optimizing parameters (gamma and nu values) in curve regression. Step 4: model prediction performances in four indexes and ROC curves.