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
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2020
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469600/
https://www.ncbi.nlm.nih.gov/pubmed/32755460
http://dx.doi.org/10.1200/CCI.19.00152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469600/
https://www.ncbi.nlm.nih.gov/pubmed/32755460
http://dx.doi.org/10.1200/CCI.19.00152

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