Application Of Advanced Optimization Techniques For Healthcare Analytics

Application of Advanced Optimisation Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimisation 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 optimisation 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 optimisation techniques. These algorithms are not related to a specific optimisation problem but could be applied to any optimisation 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 optimisation approach when making decisions to schedule patients under crowding environments with minimised human errors.

• | Author: Mohamed Abdel-Basset, Ripon Kumar Chakrabortty, Reda Ramadan
• | Publisher: Crc Press
• | Publication Date: Apr 11, 2023
• | Number of Pages: 244 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 103234881X
• | ISBN-13: 9781032348810