Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm

OBJECTIVE: Significant limitations exist in the timely and complete identification of primary and recurrent cancers for clinical and epidemiologic research. A SAS-based coding, extraction, and nomenclature tool (SCENT) was developed to address this problem. MATERIALS AND METHODS: SCENT employs hiera...

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Detalles Bibliográficos
Autores principales: Strauss, Justin A, Chao, Chun R, Kwan, Marilyn L, Ahmed, Syed A, Schottinger, Joanne E, Quinn, Virginia P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2013
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638182/
https://www.ncbi.nlm.nih.gov/pubmed/22822041
http://dx.doi.org/10.1136/amiajnl-2012-000928

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638182/
https://www.ncbi.nlm.nih.gov/pubmed/22822041
http://dx.doi.org/10.1136/amiajnl-2012-000928

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