Alzheimer Disease Classification Model Using Machine Learning Techniques

Technological advances have allowed the machine learning area of the field of artificial intelligence to emerge and provide new ‎solutions to different problems. Medicine is one of the sciences driving these advanced solutions. Using real-time data, a model ‎has been developed for the classification of brain images taken through neuroimaging techniques to assist in the diagnosis of ‎Alzheimer's disease (AD). Alzheimer's is a very important condition as it affects cognitive functions and daily living activities. ‎For the development of this work, convolutional neural networks were used with a total of 5,600 images for training and testing; ‎the images were extracted from medical reports. In the end, an accuracy level of 70% was reached in all cases during training ‎and evaluation. This percentage was considered acceptable by the medical specialist‎.