Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text
Journal of the American Medical Informatics AssociationPublished 9 November 2012Open access
Norris Heintzelman, Robert J. Taylor, Lone Simonsen, Roger Lustig, Doug Anderko, Jennifer A. Haythornthwaite
Citations83
SJR quartileQ1
SJR score2.04
SNIP1.95
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TL;DR
The feasibility of tracking longitudinal patterns of pain by text mining of free text clinical records is established and ‘outlier’ pain phenotypes useful for probing the molecular basis of cancer pain may exist.
Abstract
We have established the feasibility of tracking longitudinal patterns of pain by text mining of free text clinical records. These methods may be useful for monitoring pain management and identifying novel cancer phenotypes.
Keywords
MedicineNeuroscience
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