Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data

OBJECTIVES: Most population-based cancer databases lack information on metastatic recurrence. Electronic medical records (EMR) and cancer registries contain complementary information on cancer diagnosis, treatment and outcome, yet are rarely used synergistically. To construct a cohort of metastatic...

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Detalles Bibliográficos
Autores principales: Ling, Albee Y, Kurian, Allison W, Caswell-Jin, Jennifer L, Sledge, George W, Shah, Nigam H, Tamang, Suzanne R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994019/
https://www.ncbi.nlm.nih.gov/pubmed/32025650
http://dx.doi.org/10.1093/jamiaopen/ooz040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994019/
https://www.ncbi.nlm.nih.gov/pubmed/32025650
http://dx.doi.org/10.1093/jamiaopen/ooz040

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