Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors

Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors

Abstract Background Dementia is a major public health challenge in modern society. Early detection of high-risk dementia patients and timely intervention or treatment are of significant clinical importance. Neural network survival analysis represents the most advanced technology for survival analysi...

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Bibliographic Details
Main Authors: Shiqi Yuan, Qing Liu, Xiaxuan Huang, Shanyuan Tan, Zihong Bai, Juan Yu, Fazhen Lei, Huan Le, Qingqing Ye, Xiaoxue Peng, Juying Yang, Yitong Ling, Jun Lyu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Alzheimer’s Research & Therapy
Subjects:
Dementia
DeepSurv
Risk prediction model
Survival analysis
Online Access:https://doi.org/10.1186/s13195-024-01663-w
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