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Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
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Main description:

Highlights the contributions of different optimization techniques, decision analytics (predictive, prescriptive, and descriptive), multi-criteria decision making "Helps develop intelligent machines to provide solutions to real-world problems, which are not modelled or are too difficult to model mathematically in hospital management systems " Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, quantum computing will be rigorously applied to smart cloud computing Explores evolutionary algorithms that demonstrate their ability as robust approaches to cope with the fundamental steps of image processing, image analysis, and computer vision pipeline (e.g., restoration, segmentation, registration, classification, reconstruction, or tracking), Creates a bridge between Industrial Engineering concepts and Computational Intelligence for designing complex and convoluted hospital management problems


Contents:

Chapter 1. Developing an Efficient Model for Supplier Performance Evaluation and Selection in Healthcare Industries with Incomplete Information.

Chapter 2. A Consolidated Strategic for Analyzing and Ranking Smart Healthcare Management System Portfolios in a Resource-Restricted Environment.

Chapter 3. A Computational Reliance Approach for Assessing Healthcare Service Quality Aspects and their Measurement in an Uncertain Environment.

Chapter 4. An Efficient Verified and Provable Approach for Recommending Suitable Mobile Healthcare Products under Uncertainty Environment.

Chapter 5. Establishing a Decision-Making Strategy for a Causality Analysis of Current Status and Potential Challenges and Selection of Healthcare Waste Treatment Methods.

Chapter 6. Assessment the Usability and Understanding the Perception Towards mHealth Applications in Practice Related to Type 2 Diabetes Mellitus.

Chapter 7. Development of a Multi-Criteria Decision-Making Based Assessment Model for Cloud Computing Adoption in the Medical and Healthcare Sector.

Chapter 8. An Optimized Neutrosophic Parameterized Multi-Criteria Decision-Support System for a Medical Device Selection in the Healthcare Industry.


PRODUCT DETAILS

ISBN-13: 9781032380933
Publisher: Taylor & Francis
Publication date: May, 2023
Pages: 300
Weight: 652g
Availability: Available
Subcategories: Biomedical Engineering, General Practice

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