Research Article
[Retracted] The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method
Table 2
The best results of each data set of the user-based collaborative filtering model.
| Missing | Raw data | 10% | 20% | 30% |
| Accuracy of skin disease data set | 0.96894 (k = 1) | 0.96382 (k = 1) | 0.92764 (k = 1) | 0.82814 (k = 8) | Skin disease data set F 1-S core | 0.96787 (k = 1) | 0.96313 (k = 1) | 0.8937 (k = 1) | 0.7251 (k = 8) | Chronic nephritis accuracy rate | 0.97183 (k = 4) | 0.96894 (k = 6) | 0.97041 (k = 7) | 0.95275 (k = 6) | Chronic nephritis F 1-S core | 0.97019 (k = 4) | 0.96894 (k = 6) | 0.96894 (k = 7) | 0.95077 (k = 6) |
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