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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedMehrabi S, Schmidt CM, Waters JA
An efficient pancreatic cyst identification methodology using natural language processing.
Accurate identification, surveillance and treatment of pancreatic cysts represents an opportunity to prevent pancreatic cancer. Much information about pancreatic cysts can be found in free text format in various narrative medical reports. To capture this information, the researchers modified their cyst identification technique using the Unstructured Information Management Architecture (UIMA) pipeline.
AHRQ-funded; HS019818.
Citation: Mehrabi S, Schmidt CM, Waters JA .
An efficient pancreatic cyst identification methodology using natural language processing.
Stud Health Technol Inform 2013;192:822-6..
Keywords: Cancer, Electronic Health Records (EHRs), Data, Health Information Technology (HIT), Prevention