Alzheimer Disease Detection Techniques: A Review
DOI : 10.46335/IJIES.2024.9.2.12
Authors : Sunetra Prabhakar Salunkhe, Dr. Nilesh Ashok Suryawanshi
Abstract – Alzheimer's disease (AD) is a progressive neurological illness that impairs thought processes, behaviour, and memory. Longitudinal studies are crucial in understanding the disease's natural history, identifying risk factors, and developing effective treatments. The Longitudinal Analysis of Alzheimer's Disease using diverse machine learning and deep learning models is a rapidly developing field with significant potential for improving our understanding of this complex disease. However, there are also several significant drawbacks to current approaches, and there is a need for innovative techniques that can overcome these limitations. Here is a review of some of the key findings from longitudinal studies on Alzheimer's disease.
