
Applied Machine Learning and Multi-criteria Decision-making in Healthcare
- English
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- Available on iOS & Android
Applied Machine Learning and Multi-criteria Decision-making in Healthcare
About this book
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.
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Information
Selection of Hemorrhoid Treatment Techniques using a Multi-Criteria Decision-Making Technique
Abdulaziz Tabbakha1, *, Dilber Uzun Ozsahin1, 2, 3, Berna Uzun2, 4, Ilker Ozsahin1, 2, 5
Abstract
* Corresponding author Abdulaziz Tabbakha: Department of Biomedical Engineering, Faculty of Engineering, Near East University, Nicosia/TRNC, Mersin 10, Turkey; Tel: +90 533 871 9838;
E-mail: [email protected]
INTRODUCTION
Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- PREFACE
- List of Contributors
- Introduction
- Machine Learning in Health Care
- Prediction Problems in Healthcare Applications
- Classification Problems in Healthcare Applications
- Logistic Regression as a Classifier in Health Research
- Deep Learning in Healthcare Applications
- Comparison of Forecasting Models in the HIV Epidemiology Using Machine Learning Methods
- Deep Learning and Artificial Intelligence Applications in Dentomaxillofacial Radiology
- Artificial Neural Networks Approach in Determining Factors of Death Caused by Coronavirus in the World with Unbalanced Panel Data Models
- Dynamics of Two Strain Influenza Model with Vaccine
- Epidemic Influenza Model with Time Delay
- Mathematical Modeling in Reproduction and Infertility
- Analysis of Retinoblastoma Treatment Techniques with Fuzzy PROMETHEE
- Selection of Hemorrhoid Treatment Techniques using a Multi-Criteria Decision-Making Technique
- Mutation Resistant Target Prediction Algorithm in PCR Based Diagnostic Applications
- Intelligent Learning Systems for the Environmental Factors that Affect the Distribution of Some Leishmaniasis Vectors