Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection.

Journal: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
PMID: 39326305

Abstract

BACKGROUND: Unplanned reoperation (URO) after surgery adversely affects the quality of life and prognosis of patients undergoing anterior resection for rectal cancer. This study aims to meet the urgent need for reliable predictive tools by developing an optimized machine learning model to estimate the risk of URO following anterior resection in rectal cancer patients.

Authors

  • Yang Su
    School of Computer and Information, Dongguan City College, Dongguan 523419, China.
  • Yanqi Li
    Department of Gastrointestinal Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China; Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China. Electronic address: lyqyst@gmail.com.
  • Wangshuo Yang
    Department of Gastrointestinal Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China; Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China. Electronic address: d202282225@hust.edu.cn.
  • Xuelai Luo
    Department of Gastrointestinal Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China; Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China. Electronic address: luoxl@tjh.tjmu.edu.cn.
  • Lisheng Chen
    Department of Gastrointestinal Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. Electronic address: clsmail1990@tjh.tjmu.edu.cn.

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