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, disc...
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| Weitere Verfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin ; Boston :
De Gruyter,
[2024]
2024 |
| Schriftenreihe: | Intelligent Biomedical Data Analysis ,
10 |
| Schlagworte: | |
| ISBN: | 9783110750942 (online) |
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Inhaltsangabe:
- 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

