Human neurological disorders estimation using different machine learning techniques: Survey

Abstract

We report the findings of a total population survey of the people are becoming more and more restless and breaking apart with the mental illness called as mental disorders. There is a terrific growth in the number of people suffering and also the types of disorders are also rampaging in the brains of the people. With the growing technology there has been a thorough translation and now we can use the machine learning techniques far more efficient than any other for the prediction of disorders in the people and their conditions. The count has passed through a billion and there are a wide variety of disorders ranging over 600+ types causing several deaths every year. By the incorporation of the ML and DM the rationality of the prediction has increased and the dimensionality has also hiked from the past methods.