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Deep Learning for Medical Decision Support Systems

  • Book
  • © 2021

Overview

Authors:
  1. Utku Kose

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

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  2. Omer Deperlioglu

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

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  3. Jafar Alzubi

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

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  4. Bogdan Patrut

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

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  • Presents innovative applications of Deep Learning-based solutions for medical education and decision support systems
  • Covers advanced applications of Deep Learning techniques such as CNN, LSTM, Belief Networks, and Autoencoder Networks
  • Offers a valuable reference guide for practitioners, students, and researchers alike

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Artificial Intelligence and Decision Support Systems

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 1-14

  3. Deep Learning Architectures for Medical Diagnosis

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 15-28

  4. A Brief View on Medical Diagnosis Applications with Deep Learning

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 29-52

  5. Diagnosing Diabetic Retinopathy by Using a Blood Vessel Extraction Technique and a Convolutional Neural Network

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 53-72

  6. Diagnosing Parkinson by Using Deep Autoencoder Neural Network

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 73-93

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

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 95-106

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

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 107-127

  9. Psychological Personal Support System with Long Short Term Memory and Facial Expressions Recognition Approach

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 129-144

  10. Diagnosing of Diabetic Retinopathy with Image Dehazing and Capsule Network

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 145-155

  11. Future of Medical Decision Support Systems

    • Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 157-171
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Keywords

About this book

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. 


Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.  


Reviews

“It covers several interesting applications of deep learning in medicine … . the book can be a helpful addition to a researcher interested in a general overview of how deep learning can be applied to some medical decision systems.” (Anita T. Layton, SIAM Review, Vol. 63 (4), December, 2021)

Authors and Affiliations

  • Department of Computer Engineering, Süleyman Demirel University, Isparta, Turkey

    Utku Kose

  • Department of Computer Technologies, Afyon Kocatepe University, Afyonkarahisar, Turkey

    Omer Deperlioglu

  • Faculty of Engineering, Al-Balqa Applied University, Al-Salt, Jordan

    Jafar Alzubi

  • Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Iasi, Romania

    Bogdan Patrut

About the authors

UtkuKose received his PhD degree in Computer Engineeringfrom Selcuk University, Turkey, in 2017. Currently, he is an Associate Professor at SuleymanDemirel University, Turkey. With more than 100 publications to his credit, his research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science.

Omer Deperlioglu received his PhD in Computer Science from Gazi University, Turkey, in 2001. Currently, he is an Associate Professor of Computer Programming, Afyon Vocational School, Afyon Kocatepe University, Turkey. His research interests include various aspects of artificial intelligence applied to power electronics, biomedical and signal processing. 

Jafar Alzubi received his PhD in Advanced Telecommunications Engineering from Swansea University, UK, in 2012. He is currently an Associate Professor at the Computer Engineering Department, Al-Balqa Applied University, Jordan. His research focuses on elliptic curves cryptography and cryptosystems, and classifications and detection of web scams using Algebraic–Geometric theory in channel coding for wireless networks. He is currently working jointly with Wake Forest University, NC, USA, as a Visiting Associate Professor.

Bogdan Patrut received his two PhDs, respectively, from “AlexandruIoanCuza” University of Iasi, Romania (2007, in Accounting and Business Information Systems), and Babes-Bolyai University of Cluj-Napoca, Romania (2008, in Computer Science). Currently, he is a Lecturer at the Faculty of Computer Science, “AlexandruIoanCuza” University of Iasi. He is also the Director of EduSoft Ltd., Bacau, Romania. His research interests include multi-agent systems applied in accounting education, and computer science applied in thesocial and political sciences. He has published or edited over 25 books on programming, algorithms, artificial intelligence, interactive education, and social media, including Social Media and the New Academic Environment and Social Media in Higher Education.

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