Research Article
A Machine Learning Model Based on Unsupervised Clustering Multihabitat to Predict the Pathological Grading of Meningiomas
Table 1
The clinical characteristics of meningiomas.
| Characteristic | Training group () | Test group () |
| Age (average year) | 52.3 | 52.9 | Gender | | | Male | 40 | 16 | Female | 44 | 20 | PR | | | Positive | 39 | 16 | Negative | 45 | 20 | Ki-67 | | | Positive | 34 | 17 | Negative | 50 | 19 | WHO grading | | | Grade I | 41 | 19 | Grade II | 34 | 13 | Grade III | 9 | 4 |
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