Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.

Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.

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<h4>Background</h4>A second primary malignant tumor is one of the most important factors affecting the long-term survival of young women with breast cancer (YWBC). As one of the main treatments for breast cancer YWBC patients, postoperative radiotherapy (PORT) may increase the risk of se...

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Bibliographic Details
Main Authors: Yulin Lai, Peiyuan Huang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0316722
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