Explainable machine learning model for predicting internal mammary node metastasis in breast cancer: Multi-method development and cross-cohort validation

Explainable machine learning model for predicting internal mammary node metastasis in breast cancer: Multi-method development and cross-cohort validation

Background: This study developed an explainable machine learning model for baseline internal mammary lymph node metastasis (IMNM) in breast cancer patients. Materials and methods: This study included three cohorts: a derivation cohort (n = 1997) from Peking University Cancer Hospital, a temporal tes...

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Bibliographic Details
Main Authors: Yirong Xiang, Jian Tie, Siyuan Zhang, Chen Shi, Changkuo Guo, Yushuo Peng, Zhaoqing Fan, Weihu Wang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Breast
Subjects:
Breast cancer
Internal mammary lymph node metastasis
Machine learning
SHAP
Online Access:http://www.sciencedirect.com/science/article/pii/S096097762500534X
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