Applications Of Multi Criteria Decision Making Theories In Healthcare And Biomedical Engineering

Author : Ilker Ozsahin
Publisher : Academic Press
ISBN 13 : 0128240873
Total Pages : 334 pages
Book Rating : 4.78/5 ( download)

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Download or read book Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering written by Ilker Ozsahin and published by Academic Press. This book was released on 2021-03-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be used in solving problems relating to the selection of best alternatives. The book focuses on assisting decision-makers (government, organizations, companies, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives. The purpose of the analytical MCDM techniques is to support decision makers under uncertainty and conflicting criteria while making logical decisions. The knowledge of the alternatives of the real-life problems, properties of their parameters, and the priority given to the parameters have a great effect on consequences in decision-making. In this book, the application of MCDM has been provided for the real-life problems in health and biomedical engineering issues. Provides a comprehensive analysis and application multi-criteria decision-making methods Presents detail information about MCDM and their usage Covers state-of-the-art MCDM methods and offers applications of MCDM for health and biomedical engineering purposes

Author : Mohamed Abdel-Basset
Publisher : CRC Press
ISBN 13 : 1000867897
Total Pages : 275 pages
Book Rating : 4.93/5 ( download)

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Download or read book Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare written by Mohamed Abdel-Basset and published by CRC Press. This book was released on 2023-05-09 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare, 1st Edition, is an excellent compilation of current and advanced Multi-Criteria Decision Making (MCDM) techniques and their applications to multiple recent and innovative healthcare analytics problems. The healthcare business has expanded rapidly in recent years, and one of the top priorities in the sector is now the efficacy and efficiency of the various healthcare delivery systems. The entire performance of hospitals must be improved if the healthcare business wants to see an improvement in both the satisfaction and safety of their patients. Finding the best medical facility among many of its competitors may be difficult since there are so many, and they are so highly diverse in terms of features and performance trade-offs. This book has brought together the introductory discussions, fundamental concepts, challenges, and insights of multiple advanced healthcare management problems along with the application of MCDM to obtain the best option among multiple alternatives. A few important takeaways from this book are: Developing an efficient model for supplier performance evaluation and selection in healthcare industries with incomplete information. A computational reliance approach for assessing healthcare service quality aspects and their measurement in an uncertain environment. An efficient and provable approach for recommending suitable mobile healthcare products under uncertain environments. Establishing a decision-making strategy to select healthcare waste treatment methods. Assessing the usability of mHealth applications in practice related to type 2 diabetes. The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable MCDM technique when making decisions to prioritize the selection criteria of any healthcare-related problems to ensure a sustainable practice. .

Author : Walid A. Zgallai
Publisher : Elsevier
ISBN 13 : 0323954634
Total Pages : 437 pages
Book Rating : 4.31/5 ( download)

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Download or read book Artificial Intelligence and Image Processing in Medical Imaging written by Walid A. Zgallai and published by Elsevier. This book was released on 2024-01-18 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Image Processing in Medical Imaging deals with the applications of processing medical images with a view of improving the quality of the data in order to facilitate better decision- making. The book covers the basics of medical imaging and the fundamentals of image processing. It explains spatial and frequency domain applications of image processing, introduces image compression techniques and their applications, and covers image segmentation techniques and their applications. The book includes object detection and classification applications and provides an overall background to statistical analysis in biomedical systems. The role of Machine Learning, including Neural Networks, Deep Learning, and the implications of the expansion of artificial intelligence is also covered. With contributions from prominent researchers worldwide, this book provides up-to-date and comprehensive coverage of AI applications in image processing where readers will find the latest information with clear examples and illustrations. Provides the latest comprehensive coverage of the developments of AI techniques and the principles of medical imaging Covers all aspects of medical imaging, from acquisition, the use of hardware and software, image analysis and implementation of AI in problem solving Provides examples of medical imaging and how they’re processed, including segmentation, classification, and detection

Author : Duy Cuong Nguyen
Publisher : Springer Nature
ISBN 13 : 3031222008
Total Pages : 1011 pages
Book Rating : 4.09/5 ( download)

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Download or read book Advances in Engineering Research and Application written by Duy Cuong Nguyen and published by Springer Nature. This book was released on 2022-12-01 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Engineering Research and Applications (ICERA 2022), held on December 1-2, 2022, at Thai Nguyen University of Technology in Thai Nguyen, Vietnam, provided an international forum to disseminate information on latest theories and practices in engineering research and applications. The conference focused on original research work in areas including mechanical engineering, materials and mechanics of materials, mechatronics and micro mechatronics, automotive engineering, electrical and electronics engineering, information and communication technology. By disseminating the latest advances in the field, the Proceedings of ICERA 2022, Advances in Engineering Research and Application, assists academics and professionals alike to reshape their thinking on sustainable development.

Author : Sahar Tahvili
Publisher : Academic Press
ISBN 13 : 0323912826
Total Pages : 232 pages
Book Rating : 4.22/5 ( download)

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Download or read book Artificial Intelligence Methods for Optimization of the Software Testing Process written by Sahar Tahvili and published by Academic Press. This book was released on 2022-07-21 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies

Author : Kevin Marsh
Publisher : Springer
ISBN 13 : 3319475401
Total Pages : 329 pages
Book Rating : 4.00/5 ( download)

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Download or read book Multi-Criteria Decision Analysis to Support Healthcare Decisions written by Kevin Marsh and published by Springer. This book was released on 2017-04-18 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use of multi-criteria decision analysis (MCDA) in healthcare. The first section of the collection presents the foundations of MCDA as it is applied to healthcare decisions, providing guidance on the ethical and theoretical underpinnings of MCDA and how to select MCDA methods appropriate to different decision settings. Section two comprises a collection of case studies spanning the decision continuum, including portfolio development, benefit–risk assessment, health technology assessment, priority setting, resource optimisation, clinical practice and shared decision making. Section three explores future directions in the application of MCDA to healthcare and identifies opportunities for further research to support these.

Author : José Luís Reis
Publisher : Springer Nature
ISBN 13 : 9819715520
Total Pages : 859 pages
Book Rating : 4.27/5 ( download)

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Download or read book Marketing and Smart Technologies written by José Luís Reis and published by Springer Nature. This book was released on with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : De-Shuang Huang
Publisher : Springer Nature
ISBN 13 : 9819708273
Total Pages : 373 pages
Book Rating : 4.77/5 ( download)

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Download or read book Applied Intelligence written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Evangelos Triantaphyllou
Publisher : Springer Science & Business Media
ISBN 13 : 1475731574
Total Pages : 307 pages
Book Rating : 4.76/5 ( download)

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Download or read book Multi-criteria Decision Making Methods written by Evangelos Triantaphyllou and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their quality is hard to determine. Thus, the question `Which is the best method for a given problem?' has become one of the most important and challenging ones. This is exactly what this book has as its focus and why it is important. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities' with some of these methods. What makes this book so valuable and different is that even though the analyses are rigorous, the results can be understood even by the non-specialist. Audience: Researchers, practitioners, and students; it can be used as a textbook for senior undergraduate or graduate courses in business and engineering.

Author : Ilker Ozsahin
Publisher : Bentham Science Publishers
ISBN 13 : 168108872X
Total Pages : 316 pages
Book Rating : 4.23/5 ( download)

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Download or read book Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare written by Ilker Ozsahin and published by Bentham Science Publishers. This book was released on 2021-11-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.