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Machine learning

Anomaly Detection and Complex Event Processing over IoT Data Streams, Page: 149-191
2022
  • 0
    Citations
  • 0
    Usage
  • 32
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

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Book Chapter Description

Healthcare is at the dawn of a new era of intelligent systems and improved human relationships. The potential of artificial intelligence (AI) and machine learning (ML) technologies to support decision-making, optimize workflows, and free up quality human time is revolutionizing how people deliver and receive care. The success and performance of AI-based expert-level diagnostic systems have inspired unprecedented optimism. However, there are growing concerns about ethics, safety, and equity in the delivery of care. The lack of clarity about how it works and the resulting mistrust has negatively affected the relationship between AI and caregivers and recipients, preventing adoption. This chapter provides a general overview of the various AI learning areas and a detailed introduction to the area of federated learning, a key to the application of machine learning in the future vision of healthcare.

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