Artificial intelligence and machine learning for healthcare. Vol. 2, Emerging methodologies and trends

Artificial intelligence and machine learning for healthcare. Vol. 2, Emerging methodologies and trends / Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain, editors.

In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on "...

Full description

Saved in:
Bibliographic Details
Other Authors: Chee, Peng Lim (Editor), Vaidya, Ashlesha (Editor), Chen, Yen-Wei (Editor), Jain, Vaishnavi (Editor), Jain, L. C. (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2023]
Series:Intelligent systems reference library ; v. 229.
Subjects:
Artificial intelligence > Medical applications.
Medical care > Data processing.
Medical informatics.
Machine learning.
Artificial intelligence > Medical applications
Machine learning
Medical care > Data processing
Medical informatics
Online Access:Click for online access
Table of Contents:
  • 1. Artificial intelligence for the future of medicine
  • 2. A survival analysis guide in oncology
  • 3. Social media sentiment analysis related to COVID-19 vaccinations
  • 4. Healthcare support using data mining: a case study on stroke prediction
  • 5. A big data infrastructure in support of healthy and independent living: a real case application
  • 6. Virtual reality-based rehabilitation gaming system
  • 7. The use of serious games for developing social and communication skills in childrem with autism spectrum disorders-review
  • 8. Deep learning-based coronary stenosis detection in x-ray angiography images: overview and future trends
  • 9. Potential benefits of artificial intelligence in healthcare
  • 10. Barriers of artificial intelligence in the health sector.

Similar Items