Prediction of lymph node metastasis in patients with breast invasive micropapillary carcinoma based on machine learning and SHapley Additive exPlanations framework

Prediction of lymph node metastasis in patients with breast invasive micropapillary carcinoma based on machine learning and SHapley Additive exPlanations framework

AbstractBackground and purpose: Machine learning (ML) is applied for outcome prediction and treatment support. This study aims to develop different ML models to predict risk of axillary lymph node metastasis (LNM) in breast invasive micropapillary carcinoma (IMPC) and to explore the risk factors of...

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Bibliographic Details
Main Authors: Cong Jiang, Yuting Xiu, Kun Qiao, Xiao Yu, Shiyuan Zhang, Yuanxi Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
machine learning
SHAP
IMPC
nomogram
lymph node metastasis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.981059/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.981059/full

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