<p>The impact of image categorization extends across various domains. In healthcare, accurate image classification aids in medical diagnosis, disease detection, and treatment planning. The aim of classification is to discriminate among objects in the dataset. One method of feature selection is the filter-based feature selection model. Prior to running a learning method, the feature subset is located using an independent search criterion. The filter approach is simpler, more computationally efficient, and independent of other algorithms. It is useful for datasets with very high dimensionality. Genetic algorithms (GA) are methods using the processes of natural selection and genetics found in biological evolution. A dataset of Heart disease is obtained from UCI repository along with few other datasets. Estimation of disease and classification of attained datasets is done using a hybrid approach consisting of an evolutionary approach and a classification technique.</p>