Development of a natural language processing engine to generate bladder cancer pathology data for health services research

OBJECTIVE: To take a first step towards assembling population based cohorts of bladder cancer patients with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from full text pathology reports. METHODS: Using 600 bladder pa...

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Vydáno v:Urology
Hlavní autoři: Schroeck, Florian R., Patterson, Olga V., Alba, Patrick R., Pattison, Erik A., Seigne, John D., DuVall, Scott L., Robertson, Douglas J., Sirovich, Brenda, Goodney, Philip P.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2017
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5696035/
https://ncbi.nlm.nih.gov/pubmed/28916254
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.urology.2017.07.056
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