IoT-based Heart Attack Prediction System Using Machine Learning

Year : 2025 | Volume : 12 | Issue : 02 | Page : 1-5
    By

    Shobha Y. Vasmani,

  • Pooja S. Gadre,

  • Shivani S. Patil,

  1. Student, Department of Electronics and Telecommunication Engineering, Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication Engineering, Shri Chhatrapati Shivajiraje College of Engineering, Pune, Maharashtra, India

Abstract

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Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients’ cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to predict and prevent heart attacks. Implementing continuous monitoring technologies could greatly enhance early detection capabilities, leading to better outcomes and more effective preventive care strategies. In this study, we propose an Internet of Things (IoT)-based heart attack prediction system that collects real-time patient data from wearable sensors. The data is processed using machine learning (ML) models, specifically Support Vector Machines (SVM) and Random Forests, to predict the likelihood of a heart attack. Our approach aims to provide continuous health monitoring and enable early detection, offering a potential breakthrough in preventive healthcare.

Keywords: IoT, heart attack prediction, machine learning, healthcare, ECG, real-time monitoring

[This article belongs to Journal of Telecommunication, Switching Systems and Networks ]

How to cite this article:
Shobha Y. Vasmani, Pooja S. Gadre, Shivani S. Patil. IoT-based Heart Attack Prediction System Using Machine Learning. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(02):1-5.
How to cite this URL:
Shobha Y. Vasmani, Pooja S. Gadre, Shivani S. Patil. IoT-based Heart Attack Prediction System Using Machine Learning. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(02):1-5. Available from: https://journals.stmjournals.com/jotssn/article=2025/view=0


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 12/04/2025
Accepted 26/04/2025
Published 22/05/2025
Publication Time 40 Days
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