Miskad UA

No ORCID on file · 1 paper in corpus

2023

Risk-stratification machine learning model using demographic factors, gynaecological symptoms and β-catenin for endometrial hyperplasia and carcinoma: a cross-sectional study.

BMC women's health ·doi:10.1186/s12905-023-02790-6

BackgroundDemographic 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…