Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

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Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

220.0 In Stock
Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches

eBook

$220.00 

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Overview

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.


Product Details

ISBN-13: 9783110750980
Publisher: De Gruyter
Publication date: 03/18/2024
Series: Intelligent Biomedical Data Analysis , #10
Sold by: Barnes & Noble
Format: eBook
Pages: 354
File size: 13 MB
Note: This product may take a few minutes to download.
Age Range: 18 Years

About the Author

R. Panigrahi, A. Kumar Bhoi, Sikkim Manipal U, India; V. H. de Albuquerque, ARMTEC Fortaleza, Brazil; R. H. Jhaveri, PDPU, India.

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