Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

Name: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
Price: 332.78 AUD
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ISBN: 9783031175466

Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik , Saroj K. Meher

$415.95 $332.78

Paperback

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English

Springer International Publishing AG
15 November 2023

Medical equipment & techniques; Biomedical engineering; Computing: general; Artificial intelligence

Series: Intelligent Systems Reference Library

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.

Edited by: Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2023 ed.
Volume: 233
Dimensions: Height: 235mm, Width: 155mm,
Weight: 480g
ISBN: 9783031175466
ISBN 10: 3031175468
Series: Intelligent Systems Reference Library
Pages: 293
Publication Date: 15 November 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.