Endothelial Dysfunction Analysis Using Machine Learning

Oviya V , Dr T Jackulin

Machine learning, Endothelial dysfunction, cardiac arrest, heart disease.

The term "endothelial dysfunction analysis", which is used to describe a variety of conditions that impact the heart and circulatory system is vast. It is a substantial global contributor to disability. One of the most crucial body parts is the heart, its ailment also affects other body organs. Heart conditions can take many different forms. Heart failure and heart attacks that result in cardiac hypertrophy, coronary artery narrowing or blockage, heart valve dysfunction, and several other conditions are the most popular practices.

Published Paper   E-Certificate

"Endothelial Dysfunction Analysis Using Machine Learning ", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.53-62, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001008.pdf

Volume 11 Issue 2, February-2024

Pages : 53-62

Paper Reg. ID: TIJER_151157

Published Paper Id: TIJERB001008

Downloads: 000299

Research Area: Science and Technology

Country: TIRUVALLUR, TAMILNADU, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001008

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001008

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition