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Pretraining to Recognize PICO Elements from Randomized Controlled Trial Literature

PICO (Population/problem, Intervention, Comparison, and Outcome) is widely adopted for formulating clinical questions to retrieve evidence from the literature. It plays a crucial role in Evidence-Based Medicine (EBM). This paper contributes a scalable deep learning method to extract PICO statements...

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Detalles Bibliográficos
Autores principales: Kang, Tian, Zou, Shirui, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852618/
https://www.ncbi.nlm.nih.gov/pubmed/31437911
http://dx.doi.org/10.3233/SHTI190209