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Abstract PO5-26-05: Machine learning-based risk prediction for late distant recurrence in young women with estrogen receptor-positive/human epidermal growth factor 2-negative breast cancer

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Year: 2024
Type: conference-abstract
Source: Cancer Research
DOI: 10.1158/1538-7445.sabcs23-po5-26-05
Authors: Dong Seung Shin, Janghee Lee, Jong-Ho Cheun, Jun-Hee Lee, Yewon Shin, Soong June Bae, Eunhye Kang, Sunyoung Kwon, Han-Byoel Lee, Jai Min Ryu, Sung Gwe Ahn
Institutions: Samsung Medical Center, Sungkyunkwan University, Hallym University, Soonchunhyang University Hospital Seoul, Hallym University Dongtan Sacred Heart Hospital, Seoul National University, SNUH SMG-SNU Boramae Medical Center, Pusan National University, Yonsei University, Gangnam Severance Hospital, Seoul National University Hospital
Language: English

Topic: Breast Cancer Treatment Studies
Subfield: Cancer Research
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4396587142
Cites:
Cited by: 1
Related to: 10
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