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A Hybrid Medical Diagnosis Approach with Swarm Intelligence Supported Autoencoder Based Recurrent Neural Network System

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Deep Learning for Medical Decision Support Systems

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

Abstract

Since its first appearance in both academic and scientific world, Artificial Intelligence has taken many steps, which caused to build up different sub-fields focused on different algorithmic solution approaches.

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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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Correspondence to Utku Kose .

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Kose, U., Deperlioglu, O., Alzubi, J., Patrut, B. (2021). A Hybrid Medical Diagnosis Approach with Swarm Intelligence Supported Autoencoder Based Recurrent Neural Network System. 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_7

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