IJAIEM

B. Naresh, P. Sravya

Abstract

Machine Learning (ML) is the most well-known use of AI because of the way it is changing the face of research. The use of machine learning to diagnose Alzheimer's disease is the focus of this investigation. On a worldwide scale, Alzheimer's disease takes the lives of countless individuals. The use of machine learning methods allows for the determination of Alzheimer's disease by factoring in things like age, increased cholesterol levels, chest pain, etc. In this paper, four supervised ML algorithms are utilized: K-Nearest Neighbour, Random Forest, Artificial Neural Networks, and Logistic Regression. The accuracy of the predictions made by each of these algorithms ranges from 87% to 90%. The use of machine learning in healthcare, disease prediction, Alzheimer's disease, logistic regression, random forests, artificial neural networks, and KNN are all relevant terms.