Healthcare Big Data Analytics : : Computational Optimization and Cohesive Approaches / / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.
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, disc...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2024 Part 1 |
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MitwirkendeR: | |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2024] ©2024 |
Year of Publication: | 2024 |
Language: | English |
Series: | Intelligent Biomedical Data Analysis ,
10 |
Online Access: | |
Physical Description: | 1 online resource (X, 344 p.) |
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Other title: | Frontmatter -- Preface -- Contents -- 1 Integration of neutrosophic logic for faster effective treatment of cancer patients -- 2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking -- 3 An analytical study of AI in overcoming mental illness -- 4 COVID-19 case analysis and prediction using regression models -- 5 Computer vision for medical diagnosis and surgery -- 6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms -- 7 Prediction of big medical data using data analytics and deep learning -- 8 Impact of deep learning applications in medical hyper spectral imaging -- 9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare -- 10 Application of big data analytic techniques for healthcare systems -- 11 Big data security and privacy in healthcare -- 12 Healthcare encryption using augmented intelligence -- 13 Security system design for medical big data: layered security framework for protecting medical big data -- 14 Big data analytics in effective implementation of healthcare management -- Brief biographies -- Index |
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Summary: | 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. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110750942 9783111332192 |
ISSN: | 2629-7140 ; |
DOI: | 10.1515/9783110750942 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri. |