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HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning

HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning
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Author(s): Charu Gupta (Bhagwan Parshuram Institute of Technology, Delhi, India), Dev Gaur (Bhagwan Parshuram Institute of Technology, Delhi, India), Prateek Agrawal (Lovely Professional University, Punjab, India) and Deepali Virmani (Department of Computer Science, Vivekanand Institute of Professional Studies Technical Campus,, Delhi, India)
Copyright: 2022
Volume: 13
Issue: 2
Pages: 15
Source title: International Journal of E-Health and Medical Communications (IJEHMC)
Editor(s)-in-Chief: Joel J.P.C. Rodrigues (Federal University of Piauí (UFPI), Teresina - Pi, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/IJEHMC.20220701.oa1

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Abstract

Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.

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