Supplementary Data for "Alzheimer's Disease Risk Prediction in the Elderly: A Machine Learning Approach Combining Clinical Characteristics and Polygenic Risk Scores"

This repository contains the supplementary materials for the study titled "Alzheimer’s Disease Risk Prediction in the Elderly: A Machine Learning Approach Combining Clinical Characteristics and Polygenic Risk Scores." The files include: Feature matrices after preprocessing and matching Polygenic risk scores (PRS) computed under three p-value thresholds MLP model configuration and hyperparameters Training and evaluation metrics These data support the analyses presented in the main manuscript and enable reproducibility of the machine learning models. For questions, please contact the corresponding author.