Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

TRAMA

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.

SOMMARIO

Nature-Inspired Optimization Algorithms: Past to Present.- Preventing the early spread of infectious diseases using Particle Swarm Optimization.- Optimized gradient boosting tree-based model for obesity level prediction from patient’s physical condition and eating habits.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031175466
• Collana: Intelligent Systems Reference Library
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XVIII, 293 p. 111 illus., 77 illus. in color.
• Pagine Arabe: 293
• Pagine Romane: xviii