Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.

Journal: Pediatric surgery international
Published Date: Jun 24, 2025

Abstract

OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates using machine learning models compared with the logistic regression model.

Authors

  • Yu Cui
    Shukun (Beijing) Technology Co., Ltd, China.
  • Diwei Zhang
    Department of Anesthesiology, The Affiliated Hospital, School of Medicine, UESTC Chengdu Women's and Children's Central Hospital, No.1617, Riyue Avenue, Qingyang District, Chengdu, 610091, China.
  • Qinghua Huang
    School of Mechanical Engineering, and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, China; Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, China. Electronic address: enicarwhw@qq.com.
  • Xia Jian
    Department of Anesthesiology, The Affiliated Hospital, School of Medicine, UESTC Chengdu Women's and Children's Central Hospital, No.1617, Riyue Avenue, Qingyang District, Chengdu, 610091, China.

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