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

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Atıf İçin Kopyala

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

10th International Conference on Image Processing, Wavelet and Applications (IWW2019), Kocaeli, Türkiye, 18 - 20 Ekim 2019, ss.59

• Yayın Türü: Bildiri / Özet Bildiri
• Basıldığı Şehir: Kocaeli
• Basıldığı Ülke: Türkiye
• Sayfa Sayıları: ss.59
• Kocaeli Üniversitesi Adresli: Evet

Özet

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.