Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives

OBJECTIVE: Identification of clinical events (eg, problems, tests, treatments) and associated temporal expressions (eg, dates and times) are key tasks in extracting and managing data from electronic health records. As part of the i2b2 2012 Natural Language Processing for Clinical Data challenge, we...

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Detalhes bibliográficos
Main Authors: Kovačević, Aleksandar, Dehghan, Azad, Filannino, Michele, Keane, John A, Nenadic, Goran
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2013
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3756271/
https://ncbi.nlm.nih.gov/pubmed/23605114
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001625
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