Alzheimer’s Disease Progression Prediction with Machine Learning
摘要
A progressive neurodegenerative disease, Alzheimer’s disease (AD) impairs memory, cognitive abilities, and day-to-day functioning. Timely management and treatment depend on an early and precise diagnosis. To identify Alzheimer’s disease, this study uses a variety of machine learning and deep learning models on structured clinical data. We used different models for preprocessing and classifying a dataset of patient records. This proposed work showed the best result than other models.