Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle

OBJECTIVE: Medical research studies often rely on the manual collection of data from scanned typewritten clinical records, which can be laborious, time consuming and error prone because of the need to review individual clinical records. We aimed to use text mining to assist with the extraction of cl...

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Detalhes bibliográficos
Publicado no:BMJ Open
Main Authors: Nguyen, Anthony, O'Dwyer, John, Vu, Thanh, Webb, Penelope M, Johnatty, Sharon E, Spurdle, Amanda B
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2020
Assuntos:
Health Informatics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7295399/
https://ncbi.nlm.nih.gov/pubmed/32532784
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2020-037740
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