Detection of Alzheimer disease in brain images using PSO and Decision Tree Approach

Alzheimer's disease (AD) is a disease that attacks the brain which worsens as it progresses and it eventually lead to the death. This paper is based on the proposed technique Particle swarm optimization (PSO) for feature reduction and Decision Tree Classifier for classification. Earlier detection of AD is carried out in 3 phases. In the first phase, features such as eigen vectors, eigen brain, mean, variance, skewness, kurtosis, standard deviation, area, perimeter, eccentricity are extracted from MRI Images. In the second phase, feature reduction is carried out by Particle swarm optimization(PSO) and in third phase, Decision Tree Classifier is used to detect whether the brain image is affected by the Alzheimer disease or not. The proposed work is also compared with earlier works.