Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach.
Journal Information
Full Title: Front Endocrinol (Lausanne)
Abbreviation: Front Endocrinol (Lausanne)
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Endocrinology
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"on https://github com/snowflake-zhao/brca-i-pmrt you could find the code for this application and reproduce the performance of the model."
"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."
"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by a grant from The Science and Technology Elite Talent Project of Shaanxi Provincial People's Hospital, (2021JY-39) and The Science and Technology Development Incubation Fund project of Shaanxi Provincial People's Hospital (2020YXM-05 2023YJY-35."
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Last Updated: Aug 05, 2025