Nayak / Das / Naik Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

1. Auflage 2022
ISBN: 978-3-031-17544-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 233, 293 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Nayak, Janmenjoy

Das, Asit Kumar

Naik, Bighnaraj

Meher, Saroj K.

Brahnam, Sheryl

Inhaltsverzeichnis

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.