TY  - BOOK
AU  - Nayak,Janmenjoy
AU  - Das,Asit Kumar
AU  - Naik,Bighnaraj
AU  - Meher,Saroj K.
AU  - Brahnam,Sheryl
ED  - SpringerLink (Online service)
TI  - Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
T2  - Intelligent Systems Reference Library,
SN  - 9783031175442
AV  - Q342 
U1  - 006.3 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computational intelligence
KW  - Biomedical engineering
KW  - Medical informatics
KW  - Computational Intelligence
KW  - Biomedical Engineering and Bioengineering
KW  - Health Informatics
N1  - Acceso multiusuario; 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-17544-2
ER  -