Artificial Intelligence in Healthcare
eBook - ePub

Artificial Intelligence in Healthcare

Emphasis on Diabetes, Hypertension, and Depression Management

  1. 392 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Healthcare

Emphasis on Diabetes, Hypertension, and Depression Management

About this book

This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help.

This book:

  • Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector.
  • Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management.
  • Showcases supervised learning techniques based on datasets for depression management.
  • Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care.
  • Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression.

The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

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Information

Publisher
CRC Press
Year
2024
eBook ISBN
9781040134252

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. 1 Artificial Intelligence and Digital Health Twin Applications in Healthcare—A Systematic Review
  11. 2 Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework
  12. 3 Identification of Potential Biomarkers for Diabetes Mellitus Using Gene Expression Datasets, Machine Learning, and R Packages to Predict the Risk of Diabetes
  13. 4 Machine Learning for Chronic Diseases
  14. 5 AI Chatbot for Diabetes Self-Help
  15. 6 Future of Diabetic Management Using Artificial Intelligence
  16. 7 Detection of Generalized Anxiety Disorder
  17. 8 Machine Learning Techniques for Prediction of Hypertension
  18. 9 Food Recommendations for Hypertensive Persons
  19. 10 Optimized Support Vector Machines for Detection of Mental Disorders
  20. 11 Artificial Intelligence Applications in Depression Management
  21. 12 Depression Prediction Using Machine Learning Techniques
  22. 13 Future of Depression Management Using Artificial Intelligence
  23. 14 AI Chatbot for Depression Self-Help
  24. 15 Artificial Intelligence in Healthcare: Futuristic Opportunities
  25. Index

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Yes, you can access Artificial Intelligence in Healthcare by Gourav Bathla,Sanoj Kumar,Harish Garg,Deepika Saini in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Biomedical Science. We have over 1.5 million books available in our catalogue for you to explore.