Exploring Heart Disease Classification for IoMT with Multivariate Analysis of Statlog Features

Authors

  • Dr. J. Sravanthi, Kanakam Manoj, Manchineella Nikhitha, Katakam Vishnuvardhan, Marapally Shyam Prasad Reddy

Keywords:

Keywords: Predictive analytics, Statlog features, Internet of Medical Things, Heart disease prediction, KNN classifier, Decision Tree classifier.

Abstract

The field of Emergency Medical Services (EMS) has undergone a technological transformation aimedat improving response times, diagnostic accuracy, and patient outcomes. Traditional emergency caremethods rely heavily on manual assessments by paramedics and verbal or handwritten reports, oftenleading to delayed communication, errors in interpreting vital signs, and inconsistent patientevaluations.

References

Akash Bansode, Sanket Thakare, Sarthak Pawar, Subodh Wavhal and D.S. Rakshe, Smart Ambulance Management Application Using Cloud, IJARIIE-ISSN(O)-2395-4396, Vol-8, Issue-3 2022.

Divya Ganesh, Gayathri Seshadri, Sumathi Sokkanarayanan, Panjavarnam Bose, Sharanya Rajan and Mithileysh Sathiyanarayanan, “Automatic Health Machine for COVID-19 and Other Emergencies,” in IEEE-2021.

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Published

2025-01-15

How to Cite

Dr. J. Sravanthi, Kanakam Manoj, Manchineella Nikhitha, Katakam Vishnuvardhan, Marapally Shyam Prasad Reddy. (2025). Exploring Heart Disease Classification for IoMT with Multivariate Analysis of Statlog Features . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 30–39. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2270

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