Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
Author | : Janmenjoy Nayak |
Publisher | : Springer Nature |
Total Pages | : 304 |
Release | : 2022-11-14 |
ISBN-10 | : 9783031175442 |
ISBN-13 | : 3031175441 |
Rating | : 4/5 (42 Downloads) |
Book excerpt: 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.