Research Article
CBO-IE: A Data Mining Approach for Healthcare IoT Dataset Using Chaotic Biogeography-Based Optimization and Information Entropy
Table 6
RMSE values for entire IoT datasets.
| Dataset | K-Means | GA | PSO | ALO | BO | CBO-IE |
| Thoracic surgery | 0.537 | 0.327 | 0.157 | 0.124 | 0.0124 | 0.0034 | Breast cancer | 0.567 | 0.386 | 0.168 | 0.264 | 0.0317 | 0.0075 | Cryotherapy | 0.621 | 0.374 | 0.234 | 0.364 | 0.0421 | 0.0066 | Liver patient | 0.437 | 0.361 | 0.261 | 0.213 | 0.0652 | 0.0054 | Heart patient | 0.537 | 0.412 | 0.201 | 0.186 | 0.0145 | 0.0063 | Chronic kidney disease | 0.610 | 0.422 | 0.341 | 0.267 | 0.0254 | 0.0047 | Diabetic retinopathy | 0.517 | 0.414 | 0.367 | 0.257 | 0.0374 | 0.0087 | Blood transfusion | 0.438 | 0.314 | 0.120 | 0.265 | 0.0451 | 0.0071 |
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