Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients

Abstract Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial lesions in patients. The model is designed t...

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Bibliographic Details
Main Authors: Cao Shaoshan, Chen Niannian, Ma Ying
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-82373-z
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