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JAIT 2023 Vol.14(3): 571-580
doi: 10.12720/jait.14.3.571-580

DASS-21 Based Psychometric Prediction Using Advanced Machine Learning Techniques

Jayshree Ghorpade-Aher *, Ahbaz Memon, Snehalraj Chugh, Abhishek Chebolu, Prajakta Chaudhari, and Janhavi Chavan
Dr. Vishwanath Karad MIT World Peace University, Pune, India; Email: ahbazmemon0@gmail.com (A.M.), snehalchugh2016@gmail.com (S.C.), abhishek.chebolu@gmail.com (A.C.), prajakta.p.chaudhari@gmail.com (P.C.), janhavi.a.chavan@gmail.com (J.C.)
*Correspondence: jayshree.aher@mitwpu.edu.in (J.G.-A.)

Manuscript received August 10, 2022; revised September 22, 2022; accepted October 14, 2022; published June 25, 2023.

Abstract—The Depression, Anxiety, and Stress Scales (DASS) are 3-factor paradigms; the research is about understanding an individual’s instant, psychic response to the epidemic in evaluating their mental health. Anxiety, stress, and depression in adults over the age of eighteen are the primary subjects of this study. In computing behaviourism, it’s critical to analyse individuals’ emotional responses to strain and forecast how they will respond. 39,775 responses from individuals were obtained for the research data who took part in experiments between 2017 and 2019. When connecting attributes to anxiety levels, nearly seven distinct advanced Machine Learning (ML) based classifying algorithms were applied for experimentation. Further Artificial Intelligence (AI) techniques were used to substantially increase the accuracy of the research work. Ada-boost categorising with Support Vector Machine (SVM) base and SVM classification algorithms had a maximum predictive performance of 96% in Machine Learning models. The model acquired the highest results and the quickest time to prepare the entire collection after using Deep Learning (DL) algorithms.
Keywords—DASS-21, Adaboost, support vector machine classifier, psychology, convolution neural network, naïve bayes

Cite: Jayshree Ghorpade-Aher, Ahbaz Memon, Snehalraj Chugh, Abhishek Chebolu, Prajakta Chaudhari, and Janhavi Chavan, "DASS-21 Based Psychometric Prediction Using Advanced Machine Learning Techniques," Journal of Advances in Information Technology, Vol. 14, No. 3, pp. 571-580, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.