Routinely collected health data are data collected for purposes other than research or without specific a priori research questions developed before collection.1 Examples include clinical information ...

I am writing with regard to the commentary by Nicholls and colleagues,[1][1] and the linked study by Tang and colleagues.[2][2] Both papers make important observations about the secondary-use value of ...

Data-organizing methods have been in place for centuries, but very large data sets have come into being relatively recently. The authors describe terminologies, ontologies, and the changes needed t ...

Nuance, a subsidiary of Texas-based Decision Analyst with a focus on language-based analytics, has launched a verbatim coding ...

New LLM-driven data scanning gives customers deeper business context with remarkable precision and scaleNEW YORK, Aug. 06, 2024 (GLOBE NEWSWIRE) -- Varonis Systems, Inc. (Nasdaq: VRNS), a leader ...

Coding in sports medicine generally uses sports-specific coding systems rather than the International Classification of Diseases (ICD), because of superior applicability to the profile of injury and ...

How is Bureau Labor Statistics using machine learning to solve these problems? Alex Measure:: Seven years ago, BLS did all of the coding for the Survey of Occupational Injuries and Illnesses by ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...