Sensor Data Analytics for Intelligent Healthcare Delivery
eBook - ePub

Sensor Data Analytics for Intelligent Healthcare Delivery

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Sensor Data Analytics for Intelligent Healthcare Delivery

About this book

This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real?time and streaming analytics applications in clinical and non?clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real?world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains.

Key Features:

  • Covers fundamental concepts of sensor data acquisition, preprocessing, and real?time analysis for healthcare systems.

  • Examines the role of wearables in continuous monitoring and their analytics use in clinical workflows.

  • Addresses the challenges and techniques for handling streaming data in dynamic healthcare environments.

  • Explores machine learning and data mining algorithms tailored to healthcare sensor data.

  • Provides examples across hospital operations, patient monitoring, diagnostics, and healthcare management.

This book is for researchers and practitioners in data science, healthcare informatics, biomedical engineering, and healthcare management.

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Yes, you can access Sensor Data Analytics for Intelligent Healthcare Delivery by G.S. Karthick in PDF and/or ePUB format, as well as other popular books in Biowissenschaften & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2025
eBook ISBN
9781040425428
Topic
Biowissenschaften
Subtopic
Data Mining

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Acknowledgments
  9. About the Editor
  10. List of Contributors
  11. Chapter 1 Healthcare Sensor Data Analytics: Foundational Concepts, Architecture, Data Analysis Techniques, Data Quality, Errors, and Applications
  12. Chapter 2 Statistical Approximation of Streaming Sensor Data for Enhancing Healthcare Analytics
  13. Chapter 3 Sensor Data Analytics for Transformative Healthcare Solutions: A Comprehensive Insights
  14. Chapter 4 Healthcare Sensor Data Analysis for Real-Time Anomaly Detection: A Comprehensive Insights
  15. Chapter 5 Basic Concepts and Principles of Healthcare Sensor Data Analytics
  16. Chapter 6 Design and Development of Physiotherapy Robot to Aid Medical Practitioners for Human Upper-Limb Rehabilitation
  17. Chapter 7 Mortality Prediction in Non-Alcoholic Fatty Liver Disease Using Machine Learning
  18. Chapter 8 Predicting Cognitive Impairment through Handwriting Analysis: A Machine Learning Framework for Enhanced Clinical Decision-Making
  19. Chapter 9 Optimizing Deep Learning for Pneumonia Diagnosis Using Chest X-Ray Data
  20. Chapter 10 Melanoma Detection Using Deep Convolutional Neural Networks: A High-Resolution Image-Based Approach
  21. Chapter 11 Advanced Skin Cancer Classification Using Xception Deep Learning Architecture Using Dermoscopic Images
  22. Chapter 12 Neuro-Fuzzy Multimodal Ensemble Algorithm for Alzheimer’s Disease Prediction
  23. Chapter 13 Optimizing Bidirectional Encoder Representations from Transformers for Medical Healthcare: Unveiling Insights from Fine-Tuning for Efficient Question Answering with Gen AI
  24. Chapter 14 Utilizing Cosine Wavelet Geometric Guided Sparse Representation Transform for Lossless Medical Image Compression to Enhance Image Quality
  25. Chapter 15 A Comprehensive Analysis on Advanced Techniques in Healthcare Sensor Data Analytics
  26. Chapter 16 Internet of Medical Things in Healthcare: Enhancing Patient Care and Monitoring Through Connected Devices
  27. Index