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Recent advances in Ecological Aspect For prediction model based on ECG beat classification using neural networkView Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000716</doi_batch_id><timestamp>1716139206</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 4</title></titles><publication_date><month>11</month><year>2024</year></publication_date><journal_volume><volume>24</volume></journal_volume><issue>4</issue></journal_issue><journal_article><titles><title>Recent advances in Ecological Aspect For prediction model based on ECG beat classification using neural network</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p><p>The ecological aspects such as environmental factors, socio-economic constraints, and demographic parameters are one of the key aspects of examining the health benefits of human subjects and are used as a ready reference in ecosystem modeling. Ecosystems are growing at an extraordinary speed around the world. Environmental factors are assumed to be responsible for over half of the global illness load. Environmental and ecological imbalances have a severe effect on public health, food security, global geopolitical and economic stability. The increased amount of environmental polluting factors eventually affects the health of humans and can cause diseases and disorders. Presently, there are various kinds of deadly diseases and disorders that are liable for affecting human health and impacting the eco framework of the whole world. Viruses 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 to these unpredictable causes. As per the report of the 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 with the 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. The accumulative ecosystem is responsible for overburdening organs of living beings and policymakers must focus on the facts of study for modern management framework designs. Such initiatives could result in a more robust understanding of the human health implications of increasing environmental change, impacting decision-making in the environmental preservation and preventive health services.</p> </p></abstract><publication_date><month>10</month><day>20</day><year>2022</year></publication_date><pages><first_page>629</first_page><last_page>637</last_page></pages><publisher_item><identifier id_type="pii">gnest_04423</identifier></publisher_item><doi_data><doi>10.30955/gnj.004423</doi><timestamp>1716139206</timestamp><resource>https://journal.gnest.org/publication/gnest_04423</resource></doi_data></journal_article></journal></body></doi_batch> </div>
