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:...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: Sohn, Sunghwan, Wagholikar, Kavishwar B, Li, Dingcheng, Jonnalagadda, Siddhartha R, Tao, Cui, Komandur Elayavilli, Ravikumar, Liu, Hongfang
Формат: Artigo
Язык:Inglês
Опубликовано: BMJ Publishing Group 2013
Предметы:
Research and Applications
Online-ссылка: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
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы