Table 5 Comparison of different models
No | Authors | Techniques | Diagnosis | Accuracy |
|---|---|---|---|---|
1 | Our best method | C5.0 decision tree | Liver cancer | 0.9245 |
2 | Ming et al. (2019) [18] | ML-adaptive | Breast cancer | 0.9017 |
3 | Bronsert et al. (2019) [16] | Binomial generalized linear model | Various diagnosis from electronic health record | 0.88 |
4 | Feng et al. (2019) [35] | Logistic regression and Twenty-two machine learning (ML) models | Traumatic brain injuries | 0.88 |
5 | Abd El-Salam et al. (2019) [19] | Bayesian Nets | Liver cirrhosis | 0.689 |