Statistical Resultant Analysis of Psychosomatic Survey on Various Human Personality Indicators
Statistical Resultant Analysis of Psychosomatic Survey on Various Human Personality Indicators
复制标题
人类各项人格指标心身调查统计结果分析
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
P. Singhal
中科院分区：
文献类型：
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作者：
R. Rastogi;D. Chaturvedi;Pallavi Sharma;V. Yadav;Sumita Chauhan;Muskan Gulati;M. Gupta;P. Singhal
机器一天比一天聪明。现代科学给了我们许多好处，但同时精神，身体和精神疾病令人惊讶地扰乱了个人和所有人类的微笑，和平和明确的态度和生活方式。压力是人类面临的最大挑战，就像核武器、全球变暖和流行病一样。它导致紧张、沮丧和抑郁，最终在极端情况下导致自杀或谋杀无辜者。幸福指数，个人安全，生活参数对我们提出了严峻的挑战，印度在全球生活质量（QoL）指数中的处境特别悲惨。本章致力于将压力的主观质量定义为定量参数的模拟模型和框架，并借助流行的机器学习工具和应用方法进行数学分析。利用机器智能，作者试图建立一个框架，它可以作为一个专家系统工作，并可以帮助个人成长为更好的人。
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.
影响因子：
56.9
作者：
PLOMIN, R;OWEN, MJ;MCGUFFIN, P
通讯作者：
MCGUFFIN, P