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

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

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...

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Bibliographic Details
Main Authors: Xuan Xiao, Yihui Li, Qiaoboyang Wu, Xinting Liu, Xu Cao, Maiping Li, Jianjing Liu, Lianggeng Gong, Xi-jian Dai
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Alzheimer’s Research & Therapy
Subjects:
Dementia
Depression
Machine learning
Risk prediction
UK Biobank
DRP-Depression
Online Access:https://doi.org/10.1186/s13195-025-01750-6
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https://doi.org/10.1186/s13195-025-01750-6

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