| Machine Learning Techniques | Author | Year | Disease | Resource of Data Set | Tool | Accuracy |
| DT | Tarmizi et al. | 2013 | Dengue Disease | Public Health Department of Selangor State | WEKA | 99.95% |
| ANN | 99.98% | |||||
| RS | 100% | |||||
| SVM | Fathima and Manimeglai | 2012 | Arbovirus-Dengue disease | King Institute of Preventive Medicine and surveys of many hospitals and laboratories of Chennai and Tirunelveli from India | R project Version 2.12.2 | 90.42% |
| MFNN | Ibrahim et al. | 2005 | Dengue disease | From 252 hospitalized patients | MATLAB neural network Tool box | 90% |