Nature-Inspired Optimization Methodologies In Biomedical And Healthcare (Intelligent Systems Reference Library, 233)

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.

• | Author: Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam
• | Publisher: Springer
• | Publication Date: Nov 15, 2022
• | Number of Pages: 311 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3031175433
• | ISBN-13: 9783031175435