Research Article
A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning
Table 7
Summary of comparison using diabetes datasets with existing methods.
| Sr. no. | Author/year | Fusion method | Classifier/compared with classifier | Overall accuracy |
| 1 | Mohebbi et al. [10]/2017 | — | CNN/LR, MLP | 77.5% | 2 | Sneha and Gangil [11]/2019 | Yes/— | SVM/RF, NB, KNN, DT | 77.7% | 3 | Nguyen et al. [16]/2019 | — | Ensemble ML/— | 82.2% | 4 | Aminah and saputro [9]/2019 | — | KNN/SVM | 85.6% | 5 | Sah and sarma [12]/2018 | — | AI | 91.6% | 6 | Dinh et al. [15]/2019 | — | XGB/LR, SVM, RF, weight ensemble model | 95.7% | 7 | Proposed method | Yes/yes | Ensemble deep machine learning classifier/LR, NB, DT, KNN, RF, SVM | 99.6% |
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