Performance Evaluation of Adaboost and Naive Bayes Algorithms for the Detection of Heart Attack (Özet)

Çetinkaya S., Demir A., Kodal Sevindir H.

10th International Conference on Image Processing, Wavelet and Applications (IWW2019), Kocaeli, Turkey, 18 - 20 October 2019, pp.59, (Summary Text)

  • Publication Type: Conference Paper / Summary Text
  • City: Kocaeli
  • Country: Turkey
  • Page Numbers: pp.59
  • Kocaeli University Affiliated: Yes

Abstract

Machine Learning is used in many areas around the world, including the healthcare industry.It can play an essential role in predicting the presence/absence of heart diseases. If this information is well predicted, it may help doctors to treat patients. One of the most important problems in the health sector is a heart attack. In this study, we used Naive Bayes and Adaboost algorithms to determine the heart attack. The data used in the study were taken from the UCI machine learning repository. According to test results, the correct detection rate of Naive Bayes algorithm is higher than the Adaboost algorithm to determine heart attack.