International Scientific and Vocational Studies Journal

International Scientific and Vocational Studies Journal

Classification of Cardiotocography Records with Naïve Bayes

Yazarlar: Emre AVUÇLU, Abdullah ELEN

Cilt 3 , Sayı 2 , 2019 , Sayfalar 105 - 110

Konular:Bilgisayar Bilimleri, Yapay Zeka

Anahtar Kelimeler:Biomedical diagnostics,Machine learning algorithms,Fetal heart rate measurements.

Özet: Cardiotocography provides information about the fetal heart rate during pregnancy and childbirth, monitoring the uterine contractions and the physiological status of the fetus to identify hypoxia. Accurate information from these records can be used to estimate the pathological condition of the fetus. Thus, it allows early intervention by reporting any irreversible negative condition in the fetus. In this study, due to the importance of this subject, Naive Bayes machine learning algorithm can be used to diagnose the model developed. The result was 97.18% classification and 95.68% test success with Naive Bayes machine learning algorithm. The obtained data were presented in detail in the following sections.

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@article{2019, title={Classification of Cardiotocography Records with Naïve Bayes}, volume={3}, number={2}, publisher={International Scientific and Vocational Studies Journal}, author={Emre AVUÇLU,Abdullah ELEN}, year={2019}, pages={105–110} }
APA
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Emre AVUÇLU,Abdullah ELEN. (2019). Classification of Cardiotocography Records with Naïve Bayes (Vol. 3, pp. 105–110). Vol. 3, pp. 105–110. International Scientific and Vocational Studies Journal.
MLA
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Emre AVUÇLU,Abdullah ELEN. Classification of Cardiotocography Records with Naïve Bayes. no. 2, International Scientific and Vocational Studies Journal, 2019, pp. 105–10.
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