The Machine Learning Model for Predicting Inadequate Bowel Preparation Before Colonoscopy: A Multicenter Prospective Study.

Journal: Clinical and translational gastroenterology
PMID: 38441136

Abstract

INTRODUCTION: Colonoscopy is a critical diagnostic tool for colorectal diseases; however, its effectiveness depends on adequate bowel preparation (BP). This study aimed to develop a machine learning predictive model based on Chinese adults for inadequate BP.

Authors

  • Feng Gu
    Institute of Computing Technology, Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.
  • Jianing Xu
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Lina Du
    Institute of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Hejun Liang
    Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Jingyi Zhu
    Academy of Engineering and Technology, Fudan University, Shanghai, China.
  • Lanhui Lin
    Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Lei Ma
    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China. Electronic address: leima@wit.edu.cn.
  • Boyuan He
    Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Xinxin Wei
    Henan University of Chinese Medicine, Zhengzhou, Henan, China .
  • Huihong Zhai
    Department of Gastroenterology, Xuanwu Hospital, Capital Medical University, Beijing, China.

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