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nayak janmenjoy (curatore); das asit kumar (curatore); naik bighnaraj (curatore); meher saroj k. (curatore); brahnam sheryl (curatore) - nature-inspired optimization methodologies in biomedical and healthcare

Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 11/2022
Edizione: 1st ed. 2023





Trama

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.






Sommario

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.










Altre Informazioni

ISBN:

9783031175435

Condizione: Nuovo
Collana: Intelligent Systems Reference Library
Dimensioni: 235 x 155 mm
Formato: Copertina rigida
Illustration Notes:XVIII, 293 p. 111 illus., 77 illus. in color.
Pagine Arabe: 293
Pagine Romane: xviii


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