Ai-Based Early Prediction of Alzheimer's Disease Using Microwave Brain

Alzheimer's disease is a progressive brain disorder that affects memory, thinking, and behavior. Early prediction is important because it allows timely treatment and care planning.This study on "Early Prediction of Alzheimer Disease Using ML and Microwave Images" focuses on using machine learning (ML) techniques to detect Alzheimer's disease at an early stage. It uses microwave imaging, a non-invasive method that captures brain-related signals, to identify possible abnormalities.The collected imaging data is processed and analyzed using ML algorithms, which learn patterns associated with Alzheimer's disease. The system then classifies whether a patient is likely to have early-stage Alzheimer's or not.Overall, the approach aims to improve early diagnosis accuracy, reduce dependence on expensive scanning methods, and support faster medical decision-making.