Heart Vigilance by Unveiling Abnormalities with Precision Through Naive Bayes Classifier

Authors

  • Mardi Turnip Universitas Prima Indonesia, Indonesia Author
  • Gritfin Juniso Universitas Prima Indonesia, Indonesia Author
  • Thomas Halim Universitas Prima Indonesia, Indonesia Author
  • Aldi Riyanda Universitas Prima Indonesia, Indonesia Author
  • Abdi Dharma Universitas Prima Indonesia, Indonesia Author
  • Arjon Turnip Universitas Padjadjaran, Indonesia Author

Keywords:

Wireless, System ECG Portable, Nearest Neighbour Classifier, Heart Failure

Abstract

Heart disease is one of the factors of health problems in the world. The purpose of the paper is to reduce the increase in heart disease in patients by showing the number of patient histories through Obesity, Diabetes, Cholesterol, Hypertension blood pressure and others involving a number of students at a senior high school. This heart disease must be treated as soon as possible, therefore we found an intelligent device designed to find heart abnormalities with unexpected results reaching a high accuracy of 94.4% by utilizing the Naive Bayes Classifier Method.

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Published

2023-06-01

How to Cite

Heart Vigilance by Unveiling Abnormalities with Precision Through Naive Bayes Classifier. (2023). Internetworking Indonesia Journal, 15(1), 27-33. https://internetworkingindonesia.org/index.php/iij/article/view/27