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221201 ||| eng |
| 020 |
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|a 9783031175442
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| 100 |
1 |
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|a Nayak, Janmenjoy
|e [editor]
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| 245 |
0 |
0 |
|a Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
|h Elektronische Ressource
|c edited by Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2023, 2023
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| 300 |
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|a XVIII, 293 p. 111 illus., 77 illus. in color
|b online resource
|
| 505 |
0 |
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|a 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
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| 653 |
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|a Health Informatics
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| 653 |
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|a Biomedical engineering
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Medical informatics
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Biomedical Engineering and Bioengineering
|
| 700 |
1 |
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|a Das, Asit Kumar
|e [editor]
|
| 700 |
1 |
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|a Naik, Bighnaraj
|e [editor]
|
| 700 |
1 |
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|a Meher, Saroj K.
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Intelligent Systems Reference Library
|
| 028 |
5 |
0 |
|a 10.1007/978-3-031-17544-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-17544-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|a 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
|