| Authors | Technique Used | Dataset | Analysis |
| [46] | CART (Classification and Regression Trees) | Collected dataset through questionnaire | 75% for CART |
| [47] | SVM, RF and LR | Demographic web-based questionnaire | 80.17% for SVM |
| [48] | LR, GBC, LDA, ABC, ETC, NB, Bagging, RF, DT, SVC, Perceptron and KNN | Collected dataset from hospital | 96% for LR |
| [49] | LR, KNN, SVM, NB, DT, RF | Offline and online questionnaire | 94.10% for RF |
| [50] | LR, LDA, KNN, DT, NB, SVM, RFC and ANN | Noakhali Medical College Bangladesh | 94.07% for ANN |
| [51] | LR, SVM, KNN, RF, NB, GB | Murtala Mohammed Specialist Hospital, Kano | 88.76% for RF |
| [13] | BDT, RF, ET, AB, SGB, LR, SVM, and DT | Lifestyle dataset from geographical regions | 99.14% for BDT |
| Our Proposed Study | AdaBoost, LGBM, CatBoost, XGBoost, GBM, DT, RF, Hybrid LGBM-CatBoost | Offline and online questionnaire | 99.37% for Hybrid LGBM-CatBoost |