Early Detection of Depression in Women using Machine Learning Methods
Vidya Y.1, G. T. Raju2

1Mrs. Vidya Y., Department of CSE, RNS Institute of Technology, VTU, Bengaluru (Karnataka), India.

2Dr. G. T. Raju, Department of CSE, RNS Institute of Technology, VTU, Bengaluru (Karnataka), India.

Manuscript received on 05 December 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 31 December 2019 | PP: 352-358 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10931292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1093.1292S19

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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: According to World Health Organisation(WHO), most prevailing mental sickness and leading evidence of disability is Depression. In India Depression is much more prevalent in women of all age groups. Eventhough effectual treatment is noted for Depression, it is not reaching the maximum number of sufferers in both wealthy and pathetic countries. In this respect, many scientific discipline and researchers have been employed to develop Machine Learning models to determine level of Depression. This paper presents background knowledge on depression and useage of machine learning and also review past studies that apply machine learning for determine depression with their merits and demerits.

Keywords: Depression Detection, Machine Learning, Major Depressive Disorder (MDD), Anxiety.
Scope of the Article: Machine Learning