Alzheimer Disease Forecasting using Machine Learning Algorithm

Abstract

Alzheimer disease is a neurodegenerative disease that makes a gradual disorder of human brain cells and it leads to degenerate the cells away and die. In India more than one million cases per year are affected by this disease. The most common in people over the age group of above 65. There is no treatment for this disease to cure, but now a day's medications are available to temporarily decline the process of disease. The primitive detection of this disease may help the doctors, physician, and other family members to treat them in a better way. The objective of the proposed system is to offer a fast, early and cost-efficient method to detect disease in premature period. Machine learning is the blooming field in the healthcare industry, so by using the machine learning techniques the disease will get forecast in the earlier stage. The techniques are K-Nearest Neighbor, Adaboost Classifier, Support Vector Machine, Logistic Regression, Decision Tree Classifier and Random Forest classifier. Among these algorithms, the best prediction accuracy is produced by the Random Forest algorithm.