Early Detection of Depression in Women using Machine Learning Methods

N/ACitations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Early Detection of Depression in Women using Machine Learning Methods. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(2S), 352–358. https://doi.org/10.35940/ijitee.b1093.1292s19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free