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

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:
breast cancer
tamoxifen
endometrial lesions
nomogram
prediction model
Online Access:https://doi.org/10.1038/s41598-024-82373-z
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