Assisted annotation of medical free text using RapTAT

OBJECTIVE: To determine whether assisted annotation using interactive training can reduce the time required to annotate a clinical document corpus without introducing bias. MATERIALS AND METHODS: A tool, RapTAT, was designed to assist annotation by iteratively pre-annotating probable phrases of inte...

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Detalhes bibliográficos
Main Authors: Gobbel, Glenn T, Garvin, Jennifer, Reeves, Ruth, Cronin, Robert M, Heavirland, Julia, Williams, Jenifer, Weaver, Allison, Jayaramaraja, Shrimalini, Giuse, Dario, Speroff, Theodore, Brown, Steven H, Xu, Hua, Matheny, Michael E
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2014
Assuntos:
Focus on Biomedical Natural Language Processing and Data Modeling
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147611/
https://ncbi.nlm.nih.gov/pubmed/24431336
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002255
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