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Development of a Classification Model for Physiological Parameters in Relation to Ecological Aspects Based on Cohort Data
Summary
Researchers developed a classification model linking physiological parameters to ecological and environmental factors using cohort data, aiming to understand how environmental variables, socioeconomic conditions, and demographic parameters influence human health outcomes in the context of ecosystem modelling.
Abstract The ecological aspects such as environmental factors, socio economic constraints and demographic parameters are one of the key aspects to examine the health benefits of human subject and used as ready reference in eco system modelling. Presently, there are various kinds of deadly diseases and disorders who are liable for affecting the human health and impacting the eco framework of whole world. The virus such as Corona, Swine Flu, omicron and others are one of the best examples for the research community to understand the vulnerability of human health in relation to these unpredictable causes. As per report of world health organization every year more than ten million people are affected by such ecological and environmental disbalance. The impact of environmental factors on the functioning of several organs in humans appears to be significant. There is a need to understand this ecological model in relation to health of human subjects. In this study, a cohort-based data set of Ecological pollutants and Physiological signals such as ECG and anthropogenic data of human subjects were extracted from Maharashtra from 2015 to 2021. As per neural network-based hazard ratio was calculated and observed to be deplorable among unhealthy and health categories of human subjects. It has been concluded that the accumulative eco system is responsible for overburden to organs of living beings and policy makers must focus on the facts of study for modern management framework designs.
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