Editors: Ilker Ozsahin, Dilber Uzun Ozsahin

Applied Machine Learning and Multi-criteria Decision-making in Healthcare

eBook: US $99 Special Offer (PDF + Printed Copy): US $168
Printed Copy: US $119
Library License: US $396
ISBN: 978-1-68108-872-3 (Print)
ISBN: 978-1-68108-871-6 (Online)
Year of Publication: 2021
DOI: 10.2174/97816810887161210101


This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis).

Key Features:

  • - Introduces readers to the basics of AI and ML in expert systems for healthcare
  • - Focuses on a problem solving approach to the topic
  • - Provides information on relevant decision-making theory and data science used in the healthcare industry
  • - Includes practical applications of AI and ML for advanced readers
  • - Includes bibliographic references for further reading

The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.


medical consultants, healthcare policy makers (government and private sector), researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.


- Pp. i
Ilker Ozsahin , Dilber Uzun Ozsahin
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List of Contributors

- Pp. ii-iii (2)

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- Pp. 1-4 (4)
Basil Bartholomew Duwa*, Dilber Uzun Ozsahin, Ilker Ozsahin
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Machine Learning in Health Care

- Pp. 5-20 (16)
Basil Bartholomew Duwa*, Dilber Uzun Ozsahin, Ilker Ozsahin
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Prediction Problems in Healthcare Applications

- Pp. 21-39 (19)
Boran Sekeroglu*
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Classification Problems in Healthcare Applications

- Pp. 40-61 (22)
Kamil Dimililer*
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Logistic Regression as a Classifier in Health Research

- Pp. 62-81 (20)
Halil Ibrahim Keskin*
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Deep Learning in Healthcare Applications

- Pp. 82-97 (16)
Hanifa Teimourian, Kamil Dimililer*
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Comparison of Forecasting Models in the HIV Epidemiology Using Machine Learning Methods

- Pp. 98-123 (26)
Önder Yakut*, Murat Sayan, Emine Doğru Bolat
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Deep Learning and Artificial Intelligence Applications in Dentomaxillofacial Radiology

- Pp. 124-138 (15)
Gürkan Ünsal*, Kaan Orhan
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Artificial Neural Networks Approach in Determining Factors of Death Caused by Coronavirus in the World with Unbalanced Panel Data Models

- Pp. 139-158 (20)
Cahit ÇELİK*, Özlem Akay, Gülsen Kiral
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Dynamics of Two Strain Influenza Model with Vaccine

- Pp. 159-187 (29)
Evren Hincal*, Bilgen Kaymakamzade
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Epidemic Influenza Model with Time Delay

- Pp. 188-213 (26)
Evren Hınçal*, Bilgen Kaymakamzade
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Mathematical Modeling in Reproduction and Infertility

- Pp. 214-234 (21)
Nojan Hafizi*, Pinar Tulay
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Analysis of Retinoblastoma Treatment Techniques with Fuzzy PROMETHEE

- Pp. 235-244 (10)
Mordecai Maisaini*, Mustafa Taseli, Dilber Uzun Ozsahin, Ilker Ozsahin
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Selection of Hemorrhoid Treatment Techniques using a Multi-Criteria Decision-Making Technique

- Pp. 245-271 (27)
Abdulaziz Tabbakha*, Dilber Uzun Ozsahin, Berna Uzun, Ilker Ozsahin
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Mutation Resistant Target Prediction Algorithm in PCR Based Diagnostic Applications

- Pp. 272-283 (12)
Osman Doluca, Murat Sayan*
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Intelligent Learning Systems for the Environmental Factors that Affect the Distribution of Some Leishmaniasis Vectors

- Pp. 284-291 (8)
Mordecai Maisaini*, Kamil Dimililer, Dilber Uzun Ozsahin
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Subject Index

- Pp. 292-299 (8)

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