Healthcare Solutions Using Machine Learning and Informatics
eBook - ePub

Healthcare Solutions Using Machine Learning and Informatics

  1. 254 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Healthcare Solutions Using Machine Learning and Informatics

About this book

Healthcare Solutions Using Machine Learning and Informatics covers novel and innovative solutions for healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, and intelligent IoT-based solutions for medical image analysis, medical big-data processing, and disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence.

The wide variety of topics covered include:

  • Artificial Intelligence in healthcare
  • Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19
  • Big data analytics solutions for healthcare data processing
  • Reliable biomedical applications using AI models
  • Intelligent IoT in healthcare

The book explains fundamental concepts as well as the advanced use cases, illustrating how to apply emerging technologies such as machine learning, AI models, anddata informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain.

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Yes, you can access Healthcare Solutions Using Machine Learning and Informatics by Punit Gupta, Dinesh Kumar Saini, Rohit Verma, Punit Gupta,Dinesh Kumar Saini,Rohit Verma in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Chapter 1 Introduction to Artificial Intelligence in Healthcare
  9. Chapter 2 Machine Learning in Radio Imaging
  10. Chapter 3 Solutions Using Machine Learning for Diabetes
  11. Chapter 4 A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction
  12. Chapter 5 Machine Learning Algorithms for Industry Using Image Sensing
  13. Chapter 6 Solutions Using Machine Learning for COVID-19
  14. Chapter 7 Big Data Analytics in Healthcare Data Processing
  15. Chapter 8 Reliable Biomedical Applications Using AI Models
  16. Chapter 9 Plant Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart Farming
  17. Chapter 10 IoT Application for Healthcare
  18. Chapter 11 Machine Learning Techniques for Prediction of Diabetes
  19. Chapter 12 Use of Machine Learning in Healthcare
  20. Index