CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules

BACKGROUND: Manual extraction of information from electronic pathology (epath) reports to populate the Surveillance, Epidemiology, and End Result (SEER) database is labor intensive. Systematizing the data extraction automatically using machine-learning (ML) and natural language processing (NLP) is d...

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Detalles Bibliográficos
Autores principales: Hengartner, Nicolas, Cuellar, Leticia, Wu, Xiao-Cheng, Tourassi, Georgia, Qiu, John, Christian, Blair, Bhattacharya, Tanmoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302364/
https://www.ncbi.nlm.nih.gov/pubmed/30577756
http://dx.doi.org/10.1186/s12859-018-2503-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302364/
https://www.ncbi.nlm.nih.gov/pubmed/30577756
http://dx.doi.org/10.1186/s12859-018-2503-9

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