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

Autor:	Evans, D. A., Brownlow, N. D., William Hersh, Campbell, E. M.
Předmět:	Medical Records Systems Computerized Pharmaceutical Preparations Vocabulary Controlled Humans Classification Patient Discharge Research Article Natural Language Processing
Zdroj:	Scopus-Elsevier
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::64c95cb4460e7934a86b45dc02006dc7 http://www.scopus.com/inward/record.url?eid=2-s2.0-0030346928&partnerID=MN8TOARS Zobrazit plný text záznamu