Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (eBook)

Artikelnummer: 978-3-031-17544-2
Einband: PDF
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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.



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.



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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2022
Seitenangabe293 S.
AusgabekennzeichenEnglisch
AbbildungenXVIII, 293 p. 111 illus., 77 illus. in color.
Masse9'492 KB
PlattformPDF
ReiheIntelligent Systems Reference Library; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorNayak, Janmenjoy (Hrsg.) / Das, Asit Kumar (Hrsg.) / Naik, Bighnaraj (Hrsg.) / Meher, Saroj K. (Hrsg.) / Brahnam, Sheryl (Hrsg.)

Alle Bände der Reihe "Intelligent Systems Reference Library; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

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