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A Practical Method for Early Diagnosis of Heart Diseases via Deep Neural Network

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Deep Learning for Medical Decision Support Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 909))

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Abstract

Nowadays, the majority of human deaths are from heart diseases. For this reason, many studies have been done to improve the early diagnosis of heart diseases and to reduce deaths. These studies are mostly aimed at developing computer-aided diagnostic systems using the developing technology. Some computer-aided systems are clinical decision support systems that are developed to more easily detect heart disease than heart sounds or related data

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Süleyman Demirel University, Isparta, Turkey

    Utku Kose

  2. Department of Computer Technologies, Afyon Kocatepe University, Afyonkarahisar, Turkey

    Omer Deperlioglu

  3. Faculty of Engineering, Al-Balqa Applied University, Al-Salt, Jordan

    Jafar Alzubi

  4. Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

    Bogdan Patrut

Authors
  1. Utku Kose
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  2. Omer Deperlioglu
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  3. Jafar Alzubi
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  4. Bogdan Patrut
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Corresponding author

Correspondence to Utku Kose .

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Kose, U., Deperlioglu, O., Alzubi, J., Patrut, B. (2021). A Practical Method for Early Diagnosis of Heart Diseases via Deep Neural Network. In: Deep Learning for Medical Decision Support Systems. Studies in Computational Intelligence, vol 909. Springer, Singapore. https://doi.org/10.1007/978-981-15-6325-6_6

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