Machine learning-based prediction models affecting the recovery of postoperative bowel function for patients undergoing colorectal surgeries.

Journal: BMC surgery
PMID: 38730406

Abstract

PURPOSE: The debate surrounding factors influencing postoperative flatus and defecation in patients undergoing colorectal resection prompted this study. Our objective was to identify independent risk factors and develop prediction models for postoperative bowel function in patients undergoing colorectal surgeries.

Authors

  • Shuguang Yang
    Department of Critical Care Medicine, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, P.R. China.
  • Huiying Zhao
    Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yan Jiang West Road, Guangzhou 510120, China.
  • Youzhong An
  • Fuzheng Guo
    Trauma Center, Peking University People's Hospital, National Center for Trauma Medicine, Key Laboratory of Trauma and Neural Regeneration (Ministry of Education), Beijing, China.
  • Hua Zhang
    School of Clinical Medicine, Hangzhou Medical College, Hangzhou, China.
  • Zhidong Gao
    Laboratory of Surgical Oncology, Department of Gastrointestinal Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, P.R. China. gaozhidong6600@163.com.
  • Yingjiang Ye
    Laboratory of Surgical Oncology, Department of Gastrointestinal Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, P.R. China. yeyingjiang@pkuph.edu.cn.

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