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Title: :  Real-Time Heart Disease Prediction Using Machine Learning
PaperId: :  26425
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26425
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
P. Sri Pavan Hari CharanKV SUBBA REDDY ENGINEERING COLLEGE
Dhanraj CheeluKV SUBBA REDDY ENGINEERING COLLEGE
K. MaheshKV SUBBA REDDY ENGINEERING COLLEGE
T. Charan TejaKV SUBBA REDDY ENGINEERING COLLEGE
S. MMD. IbarhimKV SUBBA REDDY ENGINEERING COLLEGE

Abstract

COMPUTER SCIENCE AND ENGINEERING
Heart Anomalies, Electrocardiogram (ECG), Machine Learning, XGBoost Algorithm, Real-Time Prediction
Heart-related anomalies are among the most com- mon causes of death worldwide. Patients are often asymptomatic until a fatal event happens, and even when they are under ob- servation, trained personnel is needed in order to identify a heart anomaly. In the last decades, there has been increasing evidence of how Machine Learning can be leveraged to detect such anomalies, thanks to the availability of Electrocardiograms (ECG) in digital format. New developments in technology have allowed to exploit such data to build models able to analyze the patterns in the occurrence of heart beats, and spot anomalies from them. In this work, we propose a novel methodology to extract ECG-related features and predict the type of ECG recorded in real time (less than 30 milliseconds). Our models leverage a collection of almost 40 thousand ECGs labeled by expert cardiologists across different hospitals and countries, and are able to detect 7 types of signals: Normal, AF, Tachycardia, Bradycardia, Arrhythmia, Other or Noisy. We exploit the XGBoost algorithm, a leading machine learning method, to train models achieving out of sample F1 Scores in the range 0.93 – 0.99. To our knowledge, this is the first work reporting high performance across hospitals, countries and recording standards.

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IJARIIE P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. "Real-Time Heart Disease Prediction Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 212-220
MLA P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. "Real-Time Heart Disease Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 212-220.
APA P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, & S. MMD. Ibarhim. (2025). Real-Time Heart Disease Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 212-220.
Chicago P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. "Real-Time Heart Disease Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 212-220.
Oxford P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. 'Real-Time Heart Disease Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 212-220. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Real_Time_Heart_Disease_Prediction_Using_Machine_Learning_ijariie26425.pdf (Accessed : ).
Harvard P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. (2025) 'Real-Time Heart Disease Prediction Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 212-220IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Real_Time_Heart_Disease_Prediction_Using_Machine_Learning_ijariie26425.pdf (Accessed : )
IEEE P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim, "Real-Time Heart Disease Prediction Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 212-220, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Real_Time_Heart_Disease_Prediction_Using_Machine_Learning_ijariie26425.pdf [Accessed : ].
Turabian P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. "Real-Time Heart Disease Prediction Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver P. Sri Pavan Hari Charan, Dhanraj Cheelu, K. Mahesh, T. Charan Teja, and S. MMD. Ibarhim. Real-Time Heart Disease Prediction Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 212-220. Available from: https://ijariie.com/AdminUploadPdf/Real_Time_Heart_Disease_Prediction_Using_Machine_Learning_ijariie26425.pdf
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