Human Neurological Disorders Estimation using Different Machine Learning Techniques: Survey
B.Shyamala1, Brahmananda.S.H2
1B.Shyamala, Research Scholar, Assistant Professor, Department of Computer Science Engineering, Gandhi Institute of Technology and Management, Deemed University, Bangalore.
2Brahmananda.S.H, Professor, Department of Computer Science Engineering, Gandhi Institute of Technology and Management, Deemed University, Bangalore.
Manuscript received on 05 February 2019 | Revised Manuscript received on 12 February 2019 | Manuscript Published on 13 February 2019 | PP: 410-412 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2897028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Machine Learning, Disorders, Predictions, Data Mining.
Scope of the Article: Machine Learning