IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management

AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
Author(s)/Editor(s): Sandeep Kautish (Lord Buddha Education Foundation, Nepal) and Gaurav Dhiman (Government Bikram College of Commerce, India)
Copyright: ©2023
DOI: 10.4018/978-1-6684-4405-4
ISBN13: 9781668444054
ISBN10: 1668444054
EISBN13: 9781668444078

Purchase

View AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management on the publisher's website for pricing and purchasing information.


Description

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.



Body Bottom