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© 2021

Deep Learning for Medical Decision Support Systems

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

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 1-14
  3. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 15-28
  4. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 29-52
  5. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 73-93
  6. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 95-106
  7. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 129-144
  8. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 145-155
  9. Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut
    Pages 157-171

About this book

Introduction

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.  

Keywords

Artificial intelligence Machine learning Medical education Medical image analysis Hybrid deep learning systems Early diagnosis support Automated healthcare Belief Networks Deep Medicine

Authors and affiliations

  1. 1.Department of Computer EngineeringSüleyman Demirel UniversityIspartaTurkey
  2. 2.Department of Computer TechnologiesAfyon Kocatepe UniversityAfyonkarahisarTurkey
  3. 3.Faculty of EngineeringAl-Balqa Applied UniversityAl-SaltJordan
  4. 4.Faculty of Computer ScienceAlexandru Ioan Cuza University of IasiIasiRomania

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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