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Statistical Resultant Analysis of Psychosomatic Survey on Various Human Personality Indicators: Statistical Survey to Map Stress and Mental Health
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Author(s): Rohit Rastogi (ABES Engineering College, India), Devendra Kumar Chaturvedi (Dayalbagh Educational Institute, India), Pallavi Sharma (ABES Engineering College, India), Vishwas Yadav (ABES Engineering College, India), Sumit Chauhan (ABES Engineering College, India), Muskan Gulati (ABES Engineering College, India), Mayank Gupta (Tata Consultancy Services, India)and Parv Singhal (ABES Engineering College, India)
Copyright: 2019
Pages: 21
Source title:
Handbook of Research on Learning in the Age of Transhumanism
Source Author(s)/Editor(s): Serap Sisman-Ugur (Anadolu University, Turkey)and Gulsun Kurubacak (Anadolu University, Turkey)
DOI: 10.4018/978-1-5225-8431-5.ch022
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Abstract
Machines are getting intelligent day by day. Modern science has gifted us many boons but simultaneously the mental, physical and spiritual disorders have surprisingly disturbed smile, peace and definite attitude and lifestyle of individual and all human beings. The stress has been the biggest challenge against mankind like nuclear weapons, global warming, and epidemics. It leads towards tension, frustration, and depression and ultimately in extreme cases towards the suicide or murder of innocents. The happiness index, safety of individual, living parameters have drastically challenged us and India specially has pathetic situation among global quality of life (QoL) index. This chapter is an effort to define a simulated model and framework for the subjective quality of stress into quantitative parameters and mathematically analyzing it with help of popular machine learning tools and applied methods. Using machine intelligence, authors are trying to establish a framework which may work as an expert system and may help the individual to grow self as better human being.
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