Machine learning for temporary stoma after intestinal resection in surgical decision-making of Crohn's disease.

Journal: BMC gastroenterology
PMID: 40000985

Abstract

BACKGROUND: Crohn's disease (CD) often necessitates surgical intervention, with temporary stoma creation after intestinal resection (IR) being a crucial decision. This study aimed to construct novel models based on machine learning (ML) to predict temporary stoma formation after IR for CD.

Authors

  • Fang-Tao Wang
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
  • Yin Lin
    Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, 200090, China.
  • Ren-Yuan Gao
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
  • Xiao-Cai Wu
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
  • Tian-Qi Wu
    School of Computer Science and Technology, Zhejiang University, Hangzhou, China.
  • Yi-Ran Jiao
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
  • Ji-Yuan Li
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
  • Lu Yin
    College of Electronic and Information Engineering, Hebei University, Baoding Hebei, China.
  • Chun-Qiu Chen
    Department of Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. chenchunqiu6@126.com.

Keywords

External Resources

Popular Topics
Recent Journals