i-manager Publications

Heart Disease Detection System

Wonderful Ntepa*

DMI St. John the Baptist University, Lilongwe, Malawi.

Periodicity:January - June'2024
DOI : https://doi.org/10.26634/jds.2.1.20688

Abstract

This paper presents a comprehensive exploration into the utilization of machine learning (ML) techniques to revolutionize medical diagnostics, with a specific focus on enhancing the detection of heart disease. Recognizing the imperative need for early diagnosis to address the global prevalence of heart disease, this study delves into the development and application of advanced ML principles. The paper aims to construct a robust ML model capable of analyzing diverse patient data sets, including electronic health records and genetic information, to discern intricate patterns and correlations imperceptible to human clinicians. By leveraging a comprehensive dataset encompassing various patient profiles, the ML model is poised to significantly enhance the precision, speed, and efficiency of heart disease detection. The findings of this paper hold promise for fostering more effective intervention strategies and improving patient care outcomes in the realm of cardiovascular health.

Keywords

Machine Learning, Medical Diagnostics, Heart Disease Detection, Early Diagnosis, Electronic Health Records, Genetic Information, Precision Medicine.

How to Cite this Article?

Ntepa, W. (2024). Heart Disease Detection System. i-manager’s Journal on Data Science & Big Data Analytics, 2(1), 1-7. https://doi.org/10.26634/jds.2.1.20688

References

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Heart Disease Detection System

Abstract

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How to Cite this Article?

References

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