Application of Advanced Optimization Techniques for Healthcare Analytics
暫譯: 醫療分析中的高級優化技術應用

Abdel-Basset, Mohamed, Chakrabortty, Ripon K., Mohamed, Reda

Application of Advanced Optimization Techniques for Healthcare Analytics
  • 出版商: CRC
  • 出版日期: 2024-12-19
  • 售價: $2,420
  • 貴賓價: 9.5 折 $2,299
  • 語言: 英文
  • 頁數: 226
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032351586
  • ISBN-13: 9781032351582

    • 海外代購書籍(需單獨結帳)

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商品描述

Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimization techniques which can readily be applied to solve different hospital management problems. The healthcare system is currently a topic of significant investigation to make life easier for those who are disabled, old, or sick, as well as for young children. The emphasis of the healthcare system has evolved throughout time due to several emerging beneficial technologies, such as personal digital assistants (PDAs), data mining, the internet of things, metaheuristics, fog computing, and cloud computing.

Metaheuristics are strong technology for tackling several optimization problems in various fields, especially healthcare systems. The primary advantage of metaheuristic algorithms is their ability to find a better solution to a healthcare problem and their ability to consume as little time as possible. In addition, metaheuristics are more flexible compared to several other optimization techniques. These algorithms are not related to a specific optimization problem but could be applied to any optimization problem by making some small adaptations to become suitable to tackle it.

The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable optimization approach when making decisions to schedule patients under crowding environments with minimized human errors.

商品描述(中文翻譯)

《醫療分析的先進優化技術應用，第1版》是一本優秀的當前與先進優化技術的彙編，這些技術可以直接應用於解決不同的醫院管理問題。醫療系統目前是重要的研究主題，旨在為殘疾人士、老年人、病患以及幼兒提供更便利的生活。隨著多種新興有益技術的出現，如個人數位助理（PDAs）、資料探勘、物聯網、元啟發式演算法、雲端計算和霧計算，醫療系統的重點隨著時間的推移而演變。

元啟發式演算法是解決各種領域中多個優化問題的強大技術，特別是在醫療系統中。元啟發式演算法的主要優勢在於其能夠找到更好的醫療問題解決方案，並且能夠在最短的時間內完成。此外，與其他幾種優化技術相比，元啟發式演算法更具靈活性。這些演算法並不特定於某一優化問題，而是可以通過一些小的調整應用於任何優化問題，使其適合解決該問題。

本書的成功將使決策者或實務工作者能夠在擁擠環境中安排病人時，選擇合適的優化方法，以最小化人為錯誤。

作者簡介

MOHAMED ABDEL-BASSET (Senior Member, IEEE) received the BSc, MSc, and Ph.D degrees in operations research from the Faculty of Computers and Informatics, Zagazig University, Egypt. He is currently an Associate Professor with the Faculty of Computers and Informatics, Zagazig University. He has published more than 200 articles in international journals and conference proceedings. He is working on the application of multi-objective and robust metaheuristic optimization techniques. His current research interests include optimization, operations research, data mining, computational intelligence, applied statistics, decision support systems, robust optimization, engineering optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks. He is an editor and a reviewer of different international journals and conferences.

RIPON K. CHAKRABORTTY (Senior Member, IEEE) is the Program Coordinator for Master of Decision Analytics and Master of Engineering Science Programs, and the team leader of 'Decision Support & Analytics Research Group' at the School of Engineering & Information Technology, UNW Canberra, Australia. He obtained his Ph.D from the same University in 2017 while completing his MSc and BSc from Bangladesh University of Engineering & Technology in Industrial & Production Engineering in 2013 and 2009, respectively. He has written four book chapters and over 170 technical journal and conference papers. His research interest covers a wide range of topics in operations research, project management, supply chain management, artificial intelligence, and information systems management. Many organizations have funded his research program, such as the Department of Defence, Commonwealth Government, Australia. He is an associate editor and a reviewer of different international journals and conferences.

REDA MOHAMED received his BSc degree from the Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Egypt. He is working on the application of multi-objective and robust metaheuristic optimization techniques in computational intelligence. His research interests include robust optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks.

作者簡介(中文翻譯)

MOHAMED ABDEL-BASSET（IEEE 高級會員）於埃及扎卡齊格大學計算機與資訊學院獲得運籌學的學士、碩士及博士學位。目前他是扎卡齊格大學計算機與資訊學院的副教授。他在國際期刊和會議論文集中發表了超過200篇文章。他的研究專注於多目標和穩健的元啟發式優化技術的應用。目前的研究興趣包括優化、運籌學、資料探勘、計算智慧、應用統計、決策支援系統、穩健優化、工程優化、多目標優化、群體智慧、演化演算法和人工神經網絡。他是多個國際期刊和會議的編輯及審稿人。

RIPON K. CHAKRABORTTY（IEEE 高級會員）是澳大利亞坎培拉國立大學工程與資訊技術學院決策分析碩士及工程科學碩士課程的項目協調員，以及「決策支援與分析研究小組」的團隊領導。他於2017年在同一所大學獲得博士學位，並於2013年和2009年分別在孟加拉工程與科技大學獲得碩士和學士學位，專攻工業與生產工程。他撰寫了四個書章和超過170篇技術期刊及會議論文。他的研究興趣涵蓋運籌學、專案管理、供應鏈管理、人工智慧和資訊系統管理等廣泛主題。許多組織資助了他的研究計畫，例如澳大利亞國防部和聯邦政府。他是多個國際期刊和會議的副編輯及審稿人。

REDA MOHAMED於埃及扎卡齊格大學計算機與資訊學院的計算機科學系獲得學士學位。他正在計算智慧領域中應用多目標和穩健的元啟發式優化技術。他的研究興趣包括穩健優化、多目標優化、群體智慧、演化演算法和人工神經網絡。

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