Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 233
Release date:	November 2022
First published:	2023
Editors:	Janmenjoy Nayak • Asit Kumar Das • Bighnaraj Naik • Saroj K. Meher • Sheryl Brahnam
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	293
Edition:	1st ed. 2023
ISBN-13:	978-3-03-117543-5
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-117543-3
Barcode:	9783031175435

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