Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.

Journal: Journal of affective disorders
PMID: 40147608

Abstract

BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patients demonstrating twice the dementia incidence rate of non-diabetic populations. We aimed to develop and validate a novel machine learning-based dementia risk prediction tool specifically tailored for diabetic population.

Authors

  • Pei Yang
    Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Xuan Xiao
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333046, China.
  • Yihui Li
    Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
  • Xu Cao
  • Maiping Li
    Department of Radiology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Minde Road No. 1, Nanchang 330006, Jiangxi Province, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang 330006, Jiangxi Province, China.
  • Xinting Liu
    Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China.
  • Lianggeng Gong
    Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
  • Xi-Jian Dai
    Department of Radiology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Minde Road No. 1, Nanchang 330006, Jiangxi Province, China; Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang 330006, Jiangxi Province, China. Electronic address: daixjdoctor@126.com.

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