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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Kovačević, Aleksandar, Dehghan, Azad, Filannino, Michele, Keane, John A, Nenadic, Goran
פורמט: Artigo
שפה:Inglês
יצא לאור: BMJ Publishing Group 2013
נושאים:
Research and Applications
גישה מקוונת: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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