Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare
eBook - ePub

Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare

  1. 172 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare

About this book

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)—the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments.

This book offers comprehensive coverage of the most essential topics, including:

  • Introduction to e-monitoring for healthcare
  • Case studies based on big data and healthcare
  • Intelligent learning analytics in healthcare sectors using machine learning and IoT
  • Identifying diseases and diagnosis using machine learning and IoT
  • Deep learning architecture and framework for healthcare using IoT
  • Knowledge discovery from big data of healthcare-related processing
  • Big data and IoT in healthcare
  • Role of IoT in sustainable healthcare
  • A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare by Govind Singh Patel, Seema Nayak, Sunil Kumar Chaudhary, Govind Singh Patel,Seema Nayak,Sunil Kumar Chaudhary in PDF and/or ePUB format, as well as other popular books in Computer Science & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgements
  8. Editors
  9. List of Contributors
  10. Chapter 1 Introduction to E-Monitoring for Healthcare
  11. Chapter 2 Case Study-Based Big Data and IoT in Healthcare
  12. Chapter 3 Intelligent Learning Analytics in the Healthcare Sector Using Machine Learning and IoT
  13. Chapter 4 Influence of AI and Machine Learning to Empower the Healthcare Sector
  14. Chapter 5 Real-Time IoT-Based Online Analysis to Improve Performance of PV Solar System for Medical Emergencies
  15. Chapter 6 Major Depressive Disorder Detection and Monitoring Using Smart Wearable Devices with Multi-Feature Sensing
  16. Chapter 7 IoT in the Healthcare Sector
  17. Chapter 8 The Role of IoT in Sustainable Healthcare
  18. Chapter 9 EMG-Based Robot Control Human Interfaces for Hospitals
  19. Chapter 10 Performance Analysis of Adaptive Cruise Control Using Arduino for Healthcare
  20. Index