Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

Janmenjoy Nayak (Curatore)

Asit Kumar Das (Curatore)

Springer International Publishing AG, 2022

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.

• Curatore: Janmenjoy Nayak, Asit Kumar Das
• Editore: Springer International Publishing AG
• Collana: Intelligent Systems Reference Library
• Anno: 2022
• Rilegatura: Hardback
• Pagine: 293 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783031175435

Testo in English