Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

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.

Produktdetails

• Mitarbeit: Janmenjoy Nayak (Herausgeber), Bighnaraj Naik (Herausgeber), Bighnaraj Naik et al (Herausgeber), Saroj K. Meher (Herausgeber), Asit Kumar Das (Herausgeber), Sheryl Brahnam (Herausgeber), Asit Kumar Das (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 15.11.2022
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika
• EAN: 9783031175435
• ISBN: 978-3-0-3117543-5
• Anzahl Seiten: 293
• Illustration: XVIII, 293 p. 111 illus., 77 illus. in color.
• Abmessung (Verpackung): 15.5 x 2 x 23.5 cm
• Serie: Intelligent Systems Reference Library > 233