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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review
Risk-stratification machine learning model using demographic factors, gynaecological symptoms and β-catenin for endometrial hyperplasia and carcinoma: a cross-sectional study
Masadah R.
BMC Women S Health
Q1Published: 2023Citations: 2
Abstract
Risk stratification based on demographics, clinical symptoms, and β-catenin possesses a good performance in differentiating non-atypical hyperplasia with later stages.
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10.1186/s12905-023-02790-6Other files and links
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