Classification of Cardiovascular Disease using the Fuzzy K-Nearest Neighbor Method (FKNN)

  • Ni Komang Santi Cahyani Universitas Udayana
  • I Ketut Gede Suhartana Universitas Udayana

Abstract

Cardiovascular disease is a non-communicable disease that can cause death due to interfering with heart function. In this case, the classification of cardiovascular disease does make it easier for other medical personnel to help diagnose cardiovascular disease. Cardiovascular disease classification uses the Fuzzy K-Nearest Neighbor (FKNN) method to determine the optimum value of the nearest neighbor. The classification of cardiovascular disease is divided into two, having cardiovascular disease and not having cardiovascular disease. The results of classification using the Fuzzy K-Nearest Neighbor (FKNN) method with testing using a confusion matrix resulted in an accuracy of 80.21% at values of K = 13 and K = 15.

Published
2022-11-25
How to Cite
CAHYANI, Ni Komang Santi; SUHARTANA, I Ketut Gede. Classification of Cardiovascular Disease using the Fuzzy K-Nearest Neighbor Method (FKNN). Jurnal Nasional Teknologi Informasi dan Aplikasinya (JNATIA), [S.l.], v. 1, n. 1, p. 141-146, nov. 2022. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92545>. Date accessed: 27 jan. 2023.

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