Machine Learning Approaches to Predict the Progression of Alzheimer's Disease
KAMATCHI A A
Paper Contents
Abstract
AbstractThis study utilizes machine learning techniques to predict Alzheimer's disease, a neurodegenerative disorder that starts with subtle symptoms but gradually worsens over time. Alzheimer's is a prevalent form of dementia, and various cognitive factors, including age, frequency of medical visits, Mini-Mental State Examination (MMSE) scores, and educational background, can provide valuable insights for predicting the onset of the disease.
Copyright
Copyright © 2025 KAMATCHI A. This is an open access article distributed under the Creative Commons Attribution License.