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

• Main Authors: Rina Masadah (Author), Aries Maulana (Author), Berti Julian Nelwan (Author), Mahmud Ghaznawie (Author), Upik Anderiani Miskad (Author), Suryani Tawali (Author), Syahrul Rauf (Author), Bumi Herman (Author)
• Format: Book
• Published: BMC, 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...