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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Hlavní autoři: Heintzelman, Norris H, Taylor, Robert J, Simonsen, Lone, Lustig, Roger, Anderko, Doug, Haythornthwaite, Jennifer A, Childs, Lois C, Bova, George Steven
Médium: Artigo
Jazyk:Inglês
Vydáno: BMJ Publishing Group 2013
Témata:
Research and Applications
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3756253/
https://ncbi.nlm.nih.gov/pubmed/23144336
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-001076
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