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AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management (Hardcover)
Loot Price: R11,506
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AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management (Hardcover)
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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. Multiple-criteria
decision making (MCDM), including multiple rule-based decision
making (MRDM), multiple-objective decision making (MODM), and
multiple-attribute decision making (MADM), is used by clinical
decision-makers to analyze healthcare issues from various
perspectives. In practical health care cases, semi-structured and
unstructured decision-making issues involve multiple criteria (or
goals) that may conflict with each other. Thus, the use of MCDM is
a promising source of practical solutions for such problems. MCDM
methods mainly include the three parts: data process, evaluation
and selection, and planning and design. Data process focuses on
analyzing and identifying healthcare management issues and data
features for solving practical cases. Evaluation and selection
focus on evaluating the performance of each solution for healthcare
management, and these methods can be used to support
decision-making and help organizations choose the best solution for
practical healthcare management cases. Finally, planning and design
focus on analyzing and designing the goals of healthcare management
applications, which can be modelled as a minimizing or maximizing
problem for finding the optimal solutions. Furthermore, these
methods can explore the relationship structure construction among
criteria between various related issues arising from healthcare.
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