nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
Publisher: IGI Global
Publication Date: 2022
Language: English
ISBN 10: 1668444054
ISBN 13: 9781668444054
Binding: Buch
Condition: Neu
Dimensions: 260 millimeters width by 183 millimeters height by 21 millimeters depth
Weight: 763 grams

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"The success of healthcare decision-making lies in whether healthcare staff, patients, and healthcare organization managers can comprehensively understand the choices and consider future implications to make the best decision possible, so this book investigates practical multiple criteria decision analysis applications and cases for healthcare management"--

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