Ensemble survival analysis for preclinical cognitive decline prediction in Alzheimer's disease using longitudinal biomarkers.

ABSTRACT: BackgroundPredicting the risk of clinical progression from cognitively normal (CN) status to mild cognitive impairment (MCI) or Alzheimer's disease (AD) is critical for early intervention in AD. Traditional survival models often fail to capture complex longitudinal biomarker patterns associated with disease progression.ObjectiveWe propose an ensemble survival analysis framework integrating multiple survival models to improve early prediction of clinical progression in initially cognitively normal individuals.MethodsWe analyzed longitudinal biomarker data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort, including 721 participants, limiting analysis to up to three visits (baseline, 6-month follow-up, 12-month follow-up). Of these, 142 (19.7%) experienced clinical progressi

SUBMITTER: Ghosh D 

PROVIDER: S-EPMC12421452 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature