Table 1 Summary of machine learning algorithms for diabetes management in reviewed literature
From: Diabetes and hypertension MobileHealth systems: a review of general challenges and advancements
Author/year | Purpose | ML algorithm | ACC | SEN | SP | PR | ROC-AUC | F | NPV | Dataset | DMS Inc. |
|---|---|---|---|---|---|---|---|---|---|---|---|
[73]/2020 | P(risk) | LR, RF, SVM, KNN, bagged, bagged CART | CART (94.3) | CART (99.9) | - | CART (94.2) | - | CART (96.9) | - | Bangladesh: DHS | No |
[74]/2022 | P(risk) | RF, XGB, DNN | XGB (87.2) | - | - | XGB (62) | DNN (85.7) | DNN (67.2) | - | TLGS | No |
[71]/2021 | P | LR, LDA, FDA, DT(C5) | LDA (67) | LR (75) | LDA (67.3) | LR (0.4) | - | - | 99.9 | CONSTANCES, SNDS | No |
[75]/2019 | P | LR, RF, SVM, XGB | - | XGB (95.4) | - | XGB (89) | XGB (89) | - | - | NHANES | No |
[76]/2018 | P | SVM, MLP, LR, NB, C4.5, RF, HPM | HPM (92.56) | HPM (93.4) | SVM (98.79) | HPM (91.5) | - | HPM (92.44) | - | Wu et al. [77] | No |
[78]/2020 | P | LR, RF, SVM, KNN, NB, GB | RF (88.76) | - | - | - | RF/GB (86.28) | - | - | HMIS, Kano | No |
2020 | P | LR, RF, SVM, KNN, NB, GB | RF (98.48) | RF (95.57) | - | RF (98) | RF (97.78) | RF (97.73) | - | PIDD | No |
[64]/2015 | P | RF, KNN, DT | DT (86.46) | DT (86.56) | KNN (89) | - | - | - | - | UCI | No |
[65]/2019 | P | LR,RF, SVM, KNN, DT (J48) | DT (94.4) | - | - | - | - | - | - | PIDD | No |
[68]/2022 | BGL | LR, RF, SVM, KNN, NB, XGB, DT | RF (84) | - | - | - | - | - | - | iGLU device, PIDD | Yes |
[46]/2021 | TD, TP, BGL | SVM, DT | SVM/DT (86) | - | - | - | - | - | - | UCI, PIDD | Yes |
[57]/2021 | D (Early) and BGL | LR, RF, MLP | MLP (86.08) | MLP (85.1) | - | MLP (86.6) | - | - | - | CGM Device | Yes |
P | LR, MA, LSTM | LSTM (87.26) | - | - | - | - | - | - | CGM Device | Yes | |
[69]/2022 | P | LR, RF, SVM, KNN | RF (98.4) | RF (98.7) | RF (91.6) | RF (99.1) | RF (98.4) | RF (98.9) | - | IoT sensor, questionnaire | Yes |
P | LR, RF, SVM, KNN | RF (75) | RF (78.9) | LR/SVM (66.6) | LR/SVM (85.6) | RF (97.8) | LR/RF/SVM (81.3) | - | PIDD | No | |
[59]/2019 | P | LR, RF, GB | - | LR (73.4) | GB (83.7) | - | GB (84.7) | - | - | CPCSSN | No |
[60]/2020 | P | LR, RF, NB, DT, AB | LR+RF (94.25) | - | - | - | LR+RF (95) | - | - | NHANES | No |
[61]/2016 | D | DT (J48), AB, bagging | - | - | - | - | AB (≈81.67) | - | - | CPCSSN | No |
[66]/2017 | D | GPC, LDA, QDA, NB | GPC (81.97) | GPC (91.79) | GPC (63.33) | GPC (84.91) | - | - | GPC (62.5) | PIDD | No |
[70]/2022 | D | RF, NB, DT (J48) | RF (79.57) | DT (88.43) | RF (75) | RF (89.4) | RF (86.24) | RF (85.17) | - | PIDD | Yes |
[62]/2021 | D(Early) | RF, SVM, GB, AB | RF (99.35) | RF (99.01) | RF (100) | - | - | - | RF (98.15) | PIDD | No |
[58]/2022 | TP | LR, RF | RF (77) | RF (52) | RF (82) | - | RF (75) | - | - | Questionnaire | No |