A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts

BACKGROUND: Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few work is satisfactory for multi-lingual heterogeneous...

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Detalles Bibliográficos
Autores principales: Hao, Tianyong, Pan, Xiaoyi, Gu, Zhiying, Qu, Yingying, Weng, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872502/
https://www.ncbi.nlm.nih.gov/pubmed/29589563
http://dx.doi.org/10.1186/s12911-018-0595-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872502/
https://www.ncbi.nlm.nih.gov/pubmed/29589563
http://dx.doi.org/10.1186/s12911-018-0595-9

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