Alzheimers Detection Model Using ML

Alzheimer's disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. Machine learning (ML), a branch of artificial intelligence, employs a variety of probabilistic and optimization techniques that permits PCs to gain from vast and complex datasets. The ultimate aim of this paper is to implement cost-effective emergency support systems, to process the medical images. Here in this project, we will classify Alzheimer’s disease using the support vector machine (SVM) algorithm of machine learning processes. In this paper, medical images of the Alzheimer’s disease dataset are taken from the Kaggle datasets website.

Keywords: Alzheimer's disease, Machine learning (ML), support vector machine (SVM), Kaggle dataset.