Machine Learning-Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study.

Journal: Journal of medical Internet research
PMID: 40053794

Abstract

BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction surgery. It is important to identify the risk of postoperative early complications for patients with intestinal obstruction at a sufficiently early stage, which would allow preemptive individualized enhanced therapy to be conducted to improve the prognosis of patients with intestinal obstruction. A risk predictive model based on machine learning is helpful for early diagnosis and timely intervention.

Authors

  • Pinjie Huang
    Department of Anaesthesia, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China.
  • Jirong Yang
    Department of Anesthesiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Dizhou Zhao
    Department of Anesthesiology, ShenZhen People's Hospital, Shenzhen, China.
  • Taojia Ran
    Department of Anesthesiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yuheng Luo
    Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Key Laboratory of Animal Disease-resistant Nutrition and Feed of China Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease-resistant Nutrition of Sichuan Province, Ya'an, 625014, China.
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Xueqin Zheng
    Department of Anesthesiology, First People's Hospital of Foshan, Foshan, China.
  • Shaoli Zhou
    Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 10630, Guangdong, People's Republic of China. 13610272308@139.com.
  • Chaojin Chen
    Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 10630, Guangdong, People's Republic of China.

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