A Spectrum of Cardiac Health Risk Assessment Intelligent System

Authors

  • Pankaj Srivastava Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India
  • Krishna Nandan Kumar Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India

DOI:

https://doi.org/10.3126/njmathsci.v6i1.77372

Keywords:

Linguistic strings, Utility sets, Fuzzy numbers, Linguistic variables, Degree of match, ECG graph

Abstract

Medical diagnosis, particularly for cardiac conditions, is complex due to clinical variability, subjectivity, and incomplete information, which can lead to delays or errors. This article presents the development of an intelligent system using ECG data to enhance clinical efficiency, reduce diagnostic errors, and support medical decisionmaking. The system smoothly integrates into clinical workflows, analyzes complex data, and enhances patient outcomes. The Python programming language has been used to develop the code for this model.

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Published

2025-04-21

How to Cite

Srivastava, P., & Kumar, K. N. (2025). A Spectrum of Cardiac Health Risk Assessment Intelligent System . Nepal Journal of Mathematical Sciences, 6(1), 21–34. https://doi.org/10.3126/njmathsci.v6i1.77372

Issue

Vol. 6 No. 1 (2025)

Section

Articles

License

© School of Mathematical Sciences, Tribhuvan University