Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study.

Journal: Diabetes & metabolic syndrome
PMID: 39413583

Abstract

AIMS: This study aims to compare the performance of contemporary machine learning models with statistical models in predicting all-cause mortality in patients with type 2 diabetes mellitus and to develop a user-friendly mortality risk prediction tool.

Authors

  • Tingjing Zhang
    College of Food Science and Engineering, Northwest A&F University, Yangling Shaanxi 712100, China.
  • Mingyu Huang
    The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
  • Liangkai Chen
    Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang Xia
    The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Weiqing Min
  • Shuqiang Jiang

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