Interactive Exploration of Longitudinal Cancer Patient Histories Extracted From Clinical Text

PURPOSE: Retrospective cancer research requires identification of patients matching both categorical and temporal inclusion criteria, often on the basis of factors exclusively available in clinical notes. Although natural language processing approaches for inferring higher-level concepts have shown...

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Detalles Bibliográficos
Autores principales: Yuan, Zhou, Finan, Sean, Warner, Jeremy, Savova, Guergana, Hochheiser, Harry
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/PMC7265796/
https://www.ncbi.nlm.nih.gov/pubmed/32383981
http://dx.doi.org/10.1200/CCI.19.00115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265796/
https://www.ncbi.nlm.nih.gov/pubmed/32383981
http://dx.doi.org/10.1200/CCI.19.00115

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