Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

BACKGROUND: Extracting structured data from narrated medical reports is challenged by the complexity of heterogeneous structures and vocabularies and often requires significant manual effort. Traditional machine-based approaches lack the capability to take user feedbacks for improving the extraction...

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Detalles Bibliográficos
Autores principales: Zheng, Shuai, Lu, James J, Ghasemzadeh, Nima, Hayek, Salim S, Quyyumi, Arshed A, Wang, Fusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442348/
https://www.ncbi.nlm.nih.gov/pubmed/28487265
http://dx.doi.org/10.2196/medinform.7235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442348/
https://www.ncbi.nlm.nih.gov/pubmed/28487265
http://dx.doi.org/10.2196/medinform.7235

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