UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205653


Registration ID:
402635

Page Number

f354-f357

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Title

Artificial Intelligence Based Mental Health System Prediction

Abstract

Sadness is the most common mind-set jumble overall altogether affecting prosperity and usefulness, and significant individual, family and cultural impacts. The early and exact discovery of signs connected with melancholy could have many advantages for the two clinicians and impacted people. The ongoing work highlighted making and clinically testing a framework prepared to recognize visual signs of despairing and backing clinician decisions. Modified wretchedness evaluation reliant upon perceptible signs is a rapidly creating assessment space. The current extensive review of existing systems as definite in excess of sixty appropriations during the latest decade revolves around picture taking care of and AI computations. Visual signs of hopelessness, various strategies used for data arrangement, and existing datasets are summarized. The review outlines methods and computations for visual component extraction, dimensionality decline, decision systems for course of action and backslide moves close, similarly as different blend strategies. A quantitative meta-examination of declared results, contingent upon execution estimations generous to risk, is consolidated, perceiving general examples and key disturbing issues to be considered in continuous examinations of modified trouble evaluation utilizing perceptible signs alone or in blend in with clear signals. The proposed work furthermore finished to expect the slump level as shown by current commitment of face pictures using significant learning

Key Words

Convolutional Neural Network, Deep Learning, Dataset, Depression

Cite This Article

"Artificial Intelligence Based Mental Health System Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.f354-f357, May-2022, Available :http://www.jetir.org/papers/JETIR2205653.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence Based Mental Health System Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppf354-f357, May-2022, Available at : http://www.jetir.org/papers/JETIR2205653.pdf

Publication Details

Published Paper ID: JETIR2205653
Registration ID: 402635
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: f354-f357
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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