£92.15

Springer Nature-Inspired Optimization in Biomedical Healthcare

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Description

Explore specialized research in the field of computational intelligence with Nature-Inspired Optimization Methodologies in Biomedical and Healthcare. Published by Springer as part of the Intelligent Systems Reference Library (Volume 233), this book provides a focused look at how natural processes can be applied to solve complex problems in the medical and healthcare sectors. This academic resource is designed for professionals and students interested in the intersection of computer science and biology. It covers methodologies that leverage natural systems to improve healthcare outcomes and system efficiency. As part of a recognized reference library, this volume serves as a technical foundation for those studying AI and machine learning applications within the biomedical domain. Whether you are conducting research or looking for advanced optimization techniques, this text provides the necessary academic framework for understanding modern intelligent systems.

Key Features

Part of the Intelligent Systems Reference Library, volume 233, providing a standardized academic framework.

Published by Springer, a leading name in scientific and technical literature.

Focuses on the application of nature-inspired methodologies within the biomedical field.

Provides technical insights relevant to computer science, AI, and machine learning research.

Addresses complex optimization challenges specifically within healthcare environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 November 2022
Listed Since
23 August 2022

Barcode

No barcode data available

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