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Название: Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
Автор: Mohamed Abdel-Basset, Ripon Kumar Chakrabortty, Abduallah Gamal
Издательство: CRC Press
Год: 2023
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 25.1 MB
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 will be the first in the literature to bridge the Industrial Engineering perspectives and Computational Intelligence (CI) for different digitalized (aka, smart) environments.
Автор: Mohamed Abdel-Basset, Ripon Kumar Chakrabortty, Abduallah Gamal
Издательство: CRC Press
Год: 2023
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 25.1 MB
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 will be the first in the literature to bridge the Industrial Engineering perspectives and Computational Intelligence (CI) for different digitalized (aka, smart) environments.