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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
IMPLEMENTING MACHINE LEARNING ALGORITHMS FOR PREDICTING DEPRESSION
Authors
Hajra Khan, Sadia Chaudhary, Shraddha Kadam, R. Srivaramangai
Keywords
Support Vector Machine (SVM),Decision Tree, Machine Learning, Predicting Depression
Abstract
Psychological health problems such as anxiety, depression, and stress have become prevalent among people in today's fast-paced society. This research paper utilizes machine learning algorithms to forecast depression. To employ these algorithms, data was obtained from individuals with varying backgrounds, including students, employed and unemployed individuals, and homemakers, from different cultures and communities via the PHQ-9. The machine learning algorithms can predict depression across four levels of severity with high accuracy, making them especially effective in predicting mental health issues.
IJCRT's Publication Details
Unique Identification Number - IJCRT2309195
Paper ID - 243845
Page Number(s) - b620-b641
Pubished in - Volume 11 | Issue 9 | September 2023
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.36067
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Hajra Khan, Sadia Chaudhary, Shraddha Kadam, R. Srivaramangai, "IMPLEMENTING MACHINE LEARNING ALGORITHMS FOR PREDICTING DEPRESSION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.b620-b641, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309195.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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