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商品詳細
Nature-Inspired Optimization Methodologies in Biomedical and Healthcare. 2023 ed.
・ISBN 978-3-031-17543-5 hard EUR 179.99
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| 著者・編者 | Nayak, Janmenjoy / Das, Asit Kumar / Naik, Bighnaraj / Meher, Saroj K. / Brahnam, Sheryl (eds.), |
|---|---|
| シリーズ | (Intelligent Systems Reference Library) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 293 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-74668> |
解説
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.