Work

Automating concept identification in the electronic medical record: an experiment in extracting dosage information.

Year: 1996

Type: article

Abstract: We discuss the development and evaluation of an automated procedure for extracting drug-dosage information from clinical narratives. The process was developed rapidly using existing technology and resources, including categories of terms from UMLS96. Evaluations over a large training and smaller test set of medical records demonstrate an approximately 80% rate of exact and partial matches' on target phrases, with few false positives and a modest rate of false negatives. The results suggest a strategy for automating general concept identification in electronic medical records.

Source: PubMed Central

Authors: D A Evans, N D Brownlow, W R Hersh, E M Campbell

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: U.S. National Library of Medicine

Award: VOCABULARY AND TEXT DATA EXTRACTION FROM THE EMR

OpenAlex ID: W335689588

FWCI: 1.756

Cites: 2

Cited by: 56

Related to: 10