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Developing machine learning models for personalized treatment strategies in early breast cancer patients undergoing neoadjuvant systemic therapy based on SEER database

Crossref DOI link: https://doi.org/10.1038/s41598-024-72385-0

Published Online: 2024-09-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ren, Jiahui

Li, Yili

Zhou, Jing

Yang, Ting

Jing, Jingfeng

Xiao, Qian

Duan, Zhongxu

Xiang, Ke

Zhuang, Yuchen

Li, Daxue

Gao, Han
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Text and Data Mining valid from 2024-09-27

Version of Record valid from 2024-09-27
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Article History

Received: 13 April 2024

Accepted: 6 September 2024

First Online: 27 September 2024

Competing interests

: The authors declare no competing interests.

: The study was exempted from Institutional Review Board review because we utilized de-identifed, previously collected, publicly available data.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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