A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization.

Journal: BMC medical informatics and decision making
Published Date: Jul 8, 2025

Abstract

BACKGROUND: Anaemia is a common complication after kidney transplantation, and the haemoglobin concentration is one of the main criteria for identifying anaemia. Moreover, artificial intelligence methods have developed rapidly in recent years, are widely used in the medical field and have achieved good results.

Authors

  • Songping He
    Digital Manufacturing Equipment National Engineering Research Center, Huazhong University of Science and Technology, Wuhan, China.
  • Xiangxi Li
    National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, China.
  • Fangyu Peng
    1Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9140 USA.
  • Jiazhi Liao
    Department of Gastroenterology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xia Lu
    Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. xialu@tjh.tjmu.edu.cn.
  • Hui Guo
    Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada.
  • Xin Tan
    School of Public Health, Chengdu Medical College, Chengdu 610500, China.
  • Yanyan Chen
    School of Materials Science and Engineering, Peking University, Beijing 100871, China.

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