Detection of Neurodegenerative Disorder

Globally, neurodegenerative diseases like dementia and Alzheimer's represent a major danger to our healthcare system. Clinical evaluations, which may or may not be able to identify the modest cognitive changes that occur in the early stages of the disease, have historically played a major role in diagnosis procedures. Recent developments in machine learning technologies have demonstrated potential paths for enhancing diagnostic precision and have demonstrated that they are more than capable of identifying these illnesses. Thus, we employed CNN, SVM, and logistic regression to identify dementia in an image dataset.