Survival prediction in second primary breast cancer patients with machine learning: An analysis of SEER database.

Journal: Computer methods and programs in biomedicine
PMID: 38996803

Abstract

BACKGROUND: Studies have found that first primary cancer (FPC) survivors are at high risk of developing second primary breast cancer (SPBC). However, there is a lack of prognostic studies specifically focusing on patients with SPBC.

Authors

  • Yafei Wu
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Yaheng Zhang
    School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen, Fujian, China.
  • Siyu Duan
    School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen, Fujian, China.
  • Chenming Gu
    School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen, Fujian, China.
  • Chongtao Wei
    School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, Xiamen, Fujian, China.
  • Ya Fang
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.

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