Table 4.
Top 20 research domains emerged from exploratory factor analysis of all abstracts’ contents.
| No. | Name | Keywords | Eigenvalue | Frequency | % Cases |
| 1 | Predict; Predictors | Prediction; Predictors; Predict; Random; Models; Learning; Machine; Records | 2.89 | 173 | 74.39% |
| 2 | Events; Lead | Events; Lead; Developing; Detection; Potential; Treatment; Drug; Optimal; Medical; Work | 2.2 | 114 | 71.95% |
| 3 | UCI 1; Fuzzy | UCI; Fuzzy; Heart; Disease; Proposed; Obtained; Problems | 2.36 | 117 | 69.51% |
| 4 | Early; Rate | Early; Rate; Complications; Medical; Detection; Work | 1.88 | 89 | 65.85% |
| 5 | Technique; Cross | Technique; Cross; Applied; Validation; Machine; Metabolic; Learning | 2 | 132 | 64.63% |
| 6 | Support Vector Machine (SVM) | Vector; Support; SVM; Machine | 3.04 | 101 | 59.76% |
| 7 | Development; Present | Development; Present; Show; Conditions; Mellitus; Real | 2.33 | 75 | 58.54% |
| 8 | Classification | Classification; Predictive; Achieved | 2.1 | 57 | 54.88% |
| 9 | Monitoring; Blood Glucose | Monitoring; Glucose; Short; Insulin; Blood; Long; Treatment | 3.29 | 96 | 54.88% |
| 10 | Artificial Neural Network | Neural; Artificial; Network; Ann; Values; Parameters; DM 2; Obtained | 3.58 | 121 | 53.66% |
| 11 | Large; Physicians | Large; Physicians; Screening; Processing; Performance; Long; Set; AUC | 2.58 | 84 | 50.00% |
| 12 | Cost; Healthcare | Cost; Healthcare; Records; Predicting; Common; Risk | 2.68 | 71 | 48.78% |
| 13 | Body Mass; Index | Mass; Body; Index; Testing; Surgery; Rate; Complications; Robotic | 2.62 | 86 | 45.12% |
| 14 | Information; Develop | Information; Develop; Heart; Features; Long | 2.47 | 60 | 43.90% |
| 15 | Clinical Decision | Decision; Tree; Clinical; Major | 1.95 | 58 | 42.68% |
| 16 | Test; Neuropathy | Test; Neuropathy; Parameters; Component; Classifier; Accurate | 2.23 | 59 | 41.46% |
| 17 | Feature Selection; Features | Feature; Selection; Features; Proposed; Paper | 2.95 | 68 | 41.46% |
| 18 | Cohort; Hypertension | Cohort; Hypertension; Outcomes; Stage; Robotic; Surgery; Similar; Database; Complications | 15.05 | 73 | 41.46% |
| 19 | Area; Curve (AUC) 3 | Area; Curve; AUC; Identifying; Set; Evaluated | 3.82 | 79 | 39.02% |
| 20 | Sensitivity, Specificity | Specificity; Sensitivity; Develop | 1.85 | 42 | 26.83% |
1 UCI: Machine Learning Repository; 2 DM: Diabetes mellitus; 3 AUC: Area Under the Curve.