Table 13 Detailed Information of Various Studies
From: Chronic kidney disease diagnosis using decision tree algorithms
Machine Learning Technique | Year | Author | Resources of Data Set | Disease | Tool | Accuracy | Execution Time in seconds |
|---|---|---|---|---|---|---|---|
Radial Basis Function | 2016 | S. Ramya et al. | Medical reports of patients collected from different laboratories | Chronic Kidney Disease | R | 85.3%. | N/A |
Logistic regression | 2019 | Jing Xiao | Medical record of patients in Shanghai Huadong Hospital | Chronic Kidney Disease | online tool | 82% | N/A |
Probabilistic Neural Networks (PNN) | 2019 | El-Houssainy A. Radya, Ayman S. Anwar | University of California Irvine (UCI) Machine Learning Repository | Chronic Kidney Disease | DTREG Predictive Modeling System | 96.7% | 12 |