Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification

BACKGROUND: Temporal information detection systems have been developed by the Mayo Clinic for the 2012 i2b2 Natural Language Processing Challenge. OBJECTIVE: To construct automated systems for EVENT/TIMEX3 extraction and temporal link (TLINK) identification from clinical text. MATERIALS AND METHODS:...

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Hlavní autoři: Sohn, Sunghwan, Wagholikar, Kavishwar B, Li, Dingcheng, Jonnalagadda, Siddhartha R, Tao, Cui, Komandur Elayavilli, Ravikumar, Liu, Hongfang
Médium: Artigo
Jazyk:Inglês
Vydáno: BMJ Publishing Group 2013
Témata:
Research and Applications
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3756269/
https://ncbi.nlm.nih.gov/pubmed/23558168
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001622
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