Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text

OBJECTIVES: To test the feasibility of using text mining to depict meaningfully the experience of pain in patients with metastatic prostate cancer, to identify novel pain phenotypes, and to propose methods for longitudinal visualization of pain status. MATERIALS AND METHODS: Text from 4409 clinical...

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Detalles Bibliográficos
Autores principales: Heintzelman, Norris H, Taylor, Robert J, Simonsen, Lone, Lustig, Roger, Anderko, Doug, Haythornthwaite, Jennifer A, Childs, Lois C, Bova, George Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756253/
https://www.ncbi.nlm.nih.gov/pubmed/23144336
http://dx.doi.org/10.1136/amiajnl-2012-001076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756253/
https://www.ncbi.nlm.nih.gov/pubmed/23144336
http://dx.doi.org/10.1136/amiajnl-2012-001076

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