Computational Health Informatics for Biomedical Applications
eBook - ePub

Computational Health Informatics for Biomedical Applications

  1. 334 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Health Informatics for Biomedical Applications

About this book

The recent explosion of technology in healthcare has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It looks at computational tactics as applied to the development of biomedical applications using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book provides a solid framework to give the modern class of medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.

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Yes, you can access Computational Health Informatics for Biomedical Applications by Aryan Chaudhary, Sardar M. N. Islam (Naz), Aryan Chaudhary,Sardar M. N. Islam (Naz) in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apple Academic Press
Year
2023
eBook ISBN
9781000771152
Edition
1
Topic
Computer Science
Subtopic
Data Mining
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. About the Editors
  7. Contents
  8. Contributors
  9. Abbreviations
  10. Symbols
  11. Foreword
  12. Acknowledgments
  13. Preface
  14. 1. IoT-Based Healthcare Systems and Their Security Concerns
  15. 2. Distributed Bragg Reflector Biosensor for Medical Applications
  16. 3. Photonic MEMS Sensor for Biomedical Applications
  17. 4. Chaotic and Nonlinear Features as EEG Biomarkers for the Diagnosis of Neuropathologies
  18. 5. Application of Artificial Intelligence and Deep Learning in Healthcare
  19. 6. Heart Disease Prediction Desktop Application Using Supervised Learning
  20. 7. Coronavirus Outbreak Prediction Analysis and Coronavirus Detection Through X-Ray Using Machine Learning
  21. 8. Numerical Analysis of Bioheat Transfer in Thermal Medicine
  22. 9. Evolution of Artificial Intelligence and Deep Learning in Healthcare
  23. 10. Medication Extender Drone Using CoppeliaSim
  24. 11. Big Data and Visualization-Oriented Latency-Aware Smart Health Architecture
  25. 12. Signal Processing in Biomedical Applications in Present and Future Development
  26. 13. Emerging Trends in Healthcare and Drug Development
  27. 14. Future Directions in Healthcare Research
  28. Index