flâneur — a map of the web's best reading

Minimizing Risks and Maximizing Rewards from Machine Learning - Health IT Buzz

healthit.gov · 955 words · saved by 1 readers

When talking about artificial intelligence (AI) today, people are usually referring to predictive models—often driven by machine learning (ML) techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making. The power of ML is in its enormous flexibility. You can build a model to predict or recommend just about anything, and we have seen it transform many sectors. The potential for ML and related technologies in health care is exciting.

Health Data Health Innovation Health IT Certification Privacy & Security Blog Series: Artificial Intelligence & Machine Learning Minimizing Risks and Maximizing Rewards from Machine Learning Kathryn Marchesini Jeff Smith Jordan Everson Subscribe Subscribe to Our Newsletter Stay updated with our latest news and updates. Phone This field is for validation purposes and should be left unchanged. Email (Required) Cancel Health Data, Health Innovation, Health IT Certification, Privacy & Security September 7, 2022 When talking about artificial intelligence (AI) today, people are usually referring to

Explore this link on the map →

related reading