Reference

Method

Results

C. Neto et al. [7]

bagging

-Decision trees (DT)

-Logistic regression (LR)

-Random Forest (RF)

RF: 83% Accuracy in predicting complications.

Gastric cancer

K. Kaulanjan et al. [8]

bagging

-RF -Support Vector Machine (SVM) -k-Nearest Neighbor (KNN)

RF: 65% Accuracy in predicting recurrence Prostate cancer

Qun et al. [9]

bagging

-DT -RF -SVM

SVM: AUC: 98% for gastric cancer diagnosis

C. Xu et al. [10]

-RF

AUC: 78.9%, survival prognosis gastric cancer

L. Fan et al. [12]

-AdaBoost -Linear discriminant analysis -Logistic regression

AdaBoost: AUC: 94% to predict lymphovascular invasion

W. Leung et al. [13]

-Gradient Boosting (GB) -RL

GB: AUC: 97%, prognosis of gastric cancer occurrence