Table 1 Comparison summary of the existent solutions
From: Diabetes emergency cases identification based on a statistical predictive model
Authors | Year | Methods | Used dataset | IoT |
|---|---|---|---|---|
Gandhi et al. [9] | 2014 | SVM | Pima Indian | No |
Sowjanya et al. [10] | 2015 | DT (J48) | Pima Indian | No |
Panwar et al. [11] | 2016 | KNN | Pima Indian | No |
Komi et al. [12] | 2017 | ANN | Not specified | No |
Kaur et al. [13] | 2018 | DT + ANN | Pima Indian | Yes |
Sarwar et al. [20] | 2018 | KNN | Pima Indian | No |
Lukmanto et al. [14] | 2019 | Fuzzy SVM | Pima Indian | No |
Zhu et al. [15] | 2019 | PCA + K-means + LR | Pima Indian | No |
Pradhan et al. [16] | 2020 | SVM | Pima Indian | No |
Naz and Ahuja [17] | 2020 | DL | Pima Indian | No |
Jashwanth Reddy et al. [18] | 2020 | RF | Pima Indian | No |
Nath et al. [19] | 2020 | LR | Pima Indian | No |
Yaganteeswarudu et al. [23] | 2020 | SVM | Pima Indian / Frankfurt hospital | No |
Malik et al. [21] | 2021 | RF | Frankfurt hospital | No |
Beghriche et al. [22] | 2021 | DNN | Frankfurt hospital | No |
Ihnaini et al. [24] | 2021 | DL | Fusion of the two datasets | No |