Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
eBook - ePub

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

  1. 372 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

About this book

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. - Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies - Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics - Unique case study approach provides readers with insights for practical clinical implementation

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.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. 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 Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by Pradeep N,Sandeep Kautish,Sheng-Lung Peng in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Contributors
  7. Editors biography
  8. Foreword
  9. Preface
  10. Overview
  11. List of Illustrations
  12. List of Tables
  13. Chapter 1 : Foundations of healthcare informatics
  14. Chapter 2 : Smart healthcare systems using big data
  15. Chapter 3 : Big data-based frameworks for healthcare systems
  16. Chapter 4 : Predictive analysis and modeling in healthcare systems
  17. Chapter 5 : Challenges and opportunities of big data integration in patient-centric healthcare analytics using mobile networks
  18. Chapter 6 : Emergence of decision support systems in healthcare
  19. Chapter 7 : A comprehensive review on deep learning techniques for a BCI-based communication system
  20. Chapter 8 : Clinical diagnostic systems based on machine learning and deep learning
  21. Chapter 9 : An improved time-frequency method for efficient diagnosis of cardiac arrhythmias
  22. Chapter 10 : Local plastic surgery-based face recognition using convolutional neural networks
  23. Chapter 11 : Machine learning algorithms for prediction of heart disease
  24. Chapter 12 : Convolutional Siamese networks for one-shot malaria parasite recognition in microscopic images
  25. Chapter 13 : Kidney disease prediction using a machine learning approach: A comparative and comprehensive analysis
  26. Index
  27. A