Lancet: a high precision medication event extraction system for clinical text
Journal of the American Medical Informatics AssociationPublished 1 September 2010Open access
Zuofeng Li, Feifan Liu, Lamont Antieau, Yong-gang Cao, Hong Yu
Citations55
SJR quartileQ1
SJR score2.04
SNIP1.95
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TL;DR
Lancet, a supervised machine-learning system that automatically extracts medication events consisting of medication names and information pertaining to their prescribed use from lists or narrative text in medical discharge summaries, can achieve a high precision with a competitive overall F1 score.
Abstract
Supervised machine-learning systems with minimal external knowledge resources can achieve a high precision with a competitive overall F1 score.Lancet based on this learning framework does not rely on expensive manually curated rules. The system is available online at http://code.google.com/p/lancet/.
Keywords
Computer ScienceHealth ProfessionsBiochemistry, Genetics and Molecular Biology
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