Web Application for the Automated Extraction of Diagnosis and Site From Pathology Reports for Keratinocyte Cancers

PURPOSE: Keratinocyte cancers are exceedingly common in high-risk populations, but accurate measures of incidence are seldom derived because the burden of manually reviewing pathology reports to extract relevant diagnostic information is excessive. Thus, we sought to develop supervised learning algo...

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Detalles Bibliográficos
Publicado en:JCO Clin Cancer Inform
Main Authors: Thompson, Bridie S., Hardy, Sam, Pandeya, Nirmala, Dusingize, Jean Claude, Green, Adele C., Millane, Athon, Bourke, Daniel, Grande, Ronald, Bean, Cameron D., Olsen, Catherine M., Whiteman, David C.
Formato: Artigo
Idioma:Inglês
Publicado: American Society of Clinical Oncology 2020
Assuntos:
Original Reports
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7469600/
https://ncbi.nlm.nih.gov/pubmed/32755460
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.19.00152
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