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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Kovačević, Aleksandar, Dehghan, Azad, Filannino, Michele, Keane, John A, Nenadic, Goran
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMJ Publishing Group 2013
Aiheet:
Linkit: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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