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September 10, 2025Journal Of Computer Networks Architecture and High Performance ComputingOpen Access

Application of KNN Method for Classification of Arrhythmia Types Based on Ecg Data

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Authors

SMSonatafati ManaoDSDelima SitanggangASAlbert Sagala

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Overview

Machine learning technique classifies arrhythmia types in ECG data, suggesting improved diagnosis of heart disease.

Key Points

  • KNN effectively classifies arrhythmia types based on ECG data, highlighting its diagnostic potential for heart disease.
  • The KNN method showed promising results in predicting heart disease likelihood, offering a new approach for clinical decision-making.
  • Machine learning analysis with KNN on ECG data may enhance heart disease diagnosis, improving patient health outcomes.
  • Exploring KNN's application in arrhythmia classification could significantly aid in preventing and managing cardiovascular disease.

Cite This Study

Manao et al. (2025) studied this question.

synapsesocial.com/papers/68c1b60d54b1d3bfb60eb1f4https://doi.org/10.47709/cnahpc.v7i3.6010
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  5. 5Diagnosis of cardiac arrhythmia using kernel difference weighted KNN classifier2008 · 64 citations