AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management write by Kautish, Sandeep. This book was released on 2022-06-30. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management available in PDF, EPUB and Kindle. Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare write by Ilker Ozsahin. This book was released on 2021-11-18. Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare available in PDF, EPUB and Kindle. 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.
The Smart IoT Blueprint: Engineering a Connected Future
The Smart IoT Blueprint: Engineering a Connected Future - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Smart IoT Blueprint: Engineering a Connected Future write by Fadi Al-Turjman. This book was released on . The Smart IoT Blueprint: Engineering a Connected Future available in PDF, EPUB and Kindle.
Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare write by Mohamed Abdel-Basset. This book was released on 2023-05-09. Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare available in PDF, EPUB and Kindle. 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. .
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in Healthcare write by Adam Bohr. This book was released on 2020-06-21. Artificial Intelligence in Healthcare available in PDF, EPUB and Kindle. Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
