A Decision Tree – Based Method for Differential Diagnosis and Classification of Diseases Using Cough Sound

Abstract

Machine Learning is one of the top rising advances in the present period. These days the use of Machine Learning has spread in different fields particularly its development in the clinical field is enormous .Machine Learning is fit for arranging the infections from major symptoms. Cough is base reactions of sickness in the clinical, till now no evaluation and finding for hack sound, anyway one of the reactions of pneumonia is hack. Tiny living beings, contaminations, and parasites cause it. The illness causes aggravation perceptible all-around sacs in lungs. When contrasted with the man-made consciousness, the outcome anticipated by the Machine Learning is extremely exact. In the clinical field the yield esteem must be exact. In this paper various sorts of hacks are determined to have the assistance of the choice tree.