Research Article

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

Table 1

Main characteristics of cases in complete data.

DrugsTCN (PCN)PCN (%)Age (year)Male (%)Weight (kg)Year range

Cam37 (1)2.755.6 ± 13.264.959.5 ± 12.42017–2021
Cem52 (1)1.973 ± 1382.776.9 ± 15.82018–2021
Avel1074 (22)265.1 ± 11.661.675.3 ± 20.82014–2021
Dur1715 (46)2.765.9 ± 10.367.669.7 ± 18.12011–2021
Atez7073 (133)1.964.2 ± 11.65670.5 ± 18.42012–2021
Pem9416 (310)3.365.8 ± 11.56368.6 ± 20.72000–2021
Nivo15629 (708)4.563.3 ± 12.864.373.7 ± 22.12010–2021
Ipi7907 (378)4.861.7 ± 1363.777.3 ± 21.42007–2021

TCN: total case number. PCN: positive case number. Cases reported with wrong year were deleted: dur (1979), pem (1921), nivo (2022).