Related Experiment Videos

Building an automated problem list based on natural language processing: lessons learned in the early phase of

Imre Solti1, Barry Aaronson, Grant Fletcher

  • 1University of Washington, Seattle, WA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
PubMed
Summary

Automating electronic health record problem lists using MetaMap and UMLS shows promise. The system achieved 88% sensitivity and 66% precision, though ambiguity in medical notes impacted performance.

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