Risk-stratification machine learning model using demographic factors, gynaecological symptoms and β-catenin for endometrial hyperplasia and carcinoma: a cross-sectional study
Abstract Background Demographic features, suggestive gynaecological symptoms, and immunohistochemical expression of endometrial β-catenin have a prognostic capacity for endometrial hyperplasia and carcinoma. This study assessed the interaction of all variables and developed risk stratification for e...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2023-11-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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