ISBN:
9783031175442
Language:
English
Pages:
1 Online-Ressource(XVIII, 293 p. 111 illus., 77 illus. in color.)
Edition:
1st ed. 2023.
Series Statement:
Intelligent Systems Reference Library 233
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Computational intelligence.
;
Biomedical engineering.
;
Medical informatics.
Abstract:
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.
Abstract:
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.
DOI:
10.1007/978-3-031-17544-2
