Development of Alzheimer's Disease Risk Score for Future Primary Care: A White-Box Approach.

ABSTRACT:

Importance

Interpretable scoring system can contribute to bridge the gap between the timeliness and complexity of diagnosing Alzheimer's disease (AD) and promote early intervention at non-specialist settings.

Objective

To develop a risk score to predict the likelihood of AD with interpretable machine learning using variables that are obtainable at integrated primary care settings.

Design

A secondary data analysis including cohort studies from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the National Alzheimer's Coordinating Center (NACC) extracted in August 2023 and March 2024.

Setting

The ADNI and NACC are multi-site cohort studies in North America.

Participants

Participants with normal cognition or mild cognitive impairment at baseline vi

SUBMITTER: Wiranto Y 

PROVIDER: S-EPMC12668042 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature