Machine learning and AI for healthcare big data for improved health outcomes

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data. The book has been updated with the latest research in massive data, machin...

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Bibliographic Details
Other Authors: Panesar, Arjun, author (author)
Format: eBook
Language:Inglés
Published: New York, New York State : APress [2021]
Edition:Second edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631318606719
Table of Contents:
  • Chapter 1: What Is Artificial Intelligence?
  • Chapter 2: Data
  • Chapter 3: What Is Machine Learning
  • Chapter 4: Machine Learning Algorithms
  • Chapter 5: How to Perform Machine Learning
  • Chapter 6: Preparing Data
  • Chapter 7: Evaluating Machine Learning Models
  • Chapter 8: Machine Learning and AI Ethics
  • Chapter 9: The Future of Healthcare
  • Chapter 10: Case Studies
  • Appendix A: References
  • Appendix B: Glossary.