Research Article
CBO-IE: A Data Mining Approach for Healthcare IoT Dataset Using Chaotic Biogeography-Based Optimization and Information Entropy
Table 3
Standard deviation for entire IoT datasets.
| Dataset | K-Means | GA | PSO | ALO | BO | CBO-IE |
| Thoracic surgery | 0.116857 | 0.03984 | 0.012036 | 0.01452 | 0.007856 | 0.000524 | Breast cancer | 0.002578 | 0.168742 | 0.12542 | 0.15713 | 0.003657 | 0.000746 | Cryotherapy | 0.0025143 | 0.165875 | 0.001254 | 0.001674 | 0.001036 | 0.000845 | Liver patient | 0.256323 | 0.17589 | 0.147856 | 0.12312 | 0.096875 | 0.000986 | Heart patient | 0.212678 | 0.096852 | 0.042574 | 0.021563 | 0.003687 | 0.000251 | Chronic kidney disease | 0.020233 | 0.103625 | 0.09854 | 0.065214 | 0.006574 | 0.000865 | Diabetic retinopathy | 0.086574 | 0.186523 | 0.142657 | 0.102647 | 0.086478 | 0.0008657 | Blood transfusion | 0.213658 | 0.196875 | 0.185632 | 0.152461 | 0.010365 | 0.000236 |
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