Predicting Alzheimer’s Disease Using Lifestyle and Cognitive Data

2025/06/27 by Anand, Surya
#Medicine and Health Sciences #Social and Behavioral Sciences

paper · doi:10.17605/osf.io/yz925

Abstract

This study investigates the predictive power of clinical and cognitive variables (e.g., MMSE, age, family history) in determining Alzheimer's diagnosis. Using logistic regression and random forest models on a Kaggle dataset of 2,149 patients, the study evaluates early detection methods through interpretable machine learning.

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