Development and validation of a novel predictive model for dementia risk in middle-aged and elderly depression individuals: a large and longitudinal machine learning cohort study.

Journal: Alzheimer's research & therapy
PMID: 40361211

Abstract

BACKGROUND: Depression serves as a prodromal symptom of dementia, and individuals with depression exhibit a significantly higher risk of developing dementia. The aim of this study is to develop and validate a novel dementia risk prediction tool among middle-aged and elderly individuals with depression based on machine learning algorithms.

Authors

  • Xuan Xiao
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333046, China.
  • Yihui Li
    Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
  • Qiaoboyang Wu
    Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Minde Road No. 1, Nanchang, Jiangxi Province, 330006, China.
  • Xinting Liu
    Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China.
  • 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.
  • Jianjing Liu
    Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Minde Road No. 1, Nanchang, Jiangxi Province, 330006, China.
  • Lianggeng Gong
    Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, 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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