Machine learning is a type of artificial intelligence (AI) when computers are programmed to learn information without human intervention. In machine learning, the development of the underlying algorithms rely on computational statistics. Clinical and operational machine learning models are gaining ground at hospitals and health systems throughout the country, and new ones are evolving rapidly. Healthcare IT News brought this interesting topic to our attention in their article, “Building the machine learning model isn’t enough.”
Machine learning in healthcare is becoming more widely used and is helping patients and clinicians in many different ways. The most common healthcare use cases for machine learning are automating medical billing, clinical decision support and the development of clinical care guidelines.
In healthcare and other businesses, the content needs to be findable and, that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
