Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research

PURPOSE: Cancer pathology findings are critical for many aspects of care but are often locked away as unstructured free text. Our objective was to develop a natural language processing (NLP) system to extract prostate pathology details from postoperative pathology reports and a parallel structured d...

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Detalhes bibliográficos
Publicado no:JCO Clin Cancer Inform
Main Authors: Odisho, Anobel Y., Bridge, Mark, Webb, Mitchell, Ameli, Niloufar, Eapen, Renu S., Stauf, Frank, Cowan, Janet E., Washington, Samuel L., Herlemann, Annika, Carroll, Peter R., Cooperberg, Matthew R.
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Clinical Oncology 2019
Assuntos:
Original Report
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6874052/
https://ncbi.nlm.nih.gov/pubmed/31314550
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.18.00084
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