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

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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
Call Number:Libro Electrónico
Main Author: Panesar, Arjun
Format: Electronic eBook
Language:Inglés
Published: [Place of publication not identified] : Apress, 2021.
Edition:2nd ed.
Series:ITpro collection
Subjects:
Artificial intelligence > Medical applications.
Machine learning.
Machine Learning
Intelligence artificielle en médecine.
Apprentissage automatique.
Computer software
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
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.-

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