Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

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Synopsis

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.

Book details

Edition:
1st ed. 2023
Series:
Intelligent Systems Reference Library (Book 233)
Author:
Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam
ISBN:
9783031175442
Related ISBNs:
9783031175435
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-11-15
Usage restrictions:
Copyright
Copyright date:
2023
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Medicine, Nonfiction, Science, Technology