Nature-Inspired Optimization Methodologies in Biomedical and Healthcare - Couverture souple

Couverture souple

ISBN 10 : 3031175468 ISBN 13 : 9783031175466

Editeur : Springer, 2023

Synopsis

This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3031175468
• ISBN 13: 9783031175466
• Reliure: Broché
• Nombre de pages: 312
• Éditeur: Nayak Janmenjoy, Das Asit Kumar, Naik Bighnaraj, Meher Saroj K., Brahnam Sheryl
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne