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ConText is based on a negation algorithm called NegEx. ConText's input is a sentence with indexed clinical conditions; ConText's output for each indexed condition is the value for contextual features or modifiers. The initial versions of ConText determine ...

CRC Annotators were created to support the extraction of tumor stage, TNM descriptors, lymph nodes and resection margin status from clinical notes. Prostate cancer annotators can be used to extract Gleason's score from the unstructured notes. These annota ...

CliNER

Open-source natural language processing system for named entity recognition in clinical text of electronic health records. CliNER will identify clinically-relevant entities mentioned in a clinical narrative (such as diseases/disorders, signs/symptoms, med ...

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Work in progress of Dr. Jonnalagadda's K99/R00 project at Mayo Clinic and Northwestern University: The use of clinical knowledge systems such as UpToDate that provide reliable information at the point of care has been shown to improve patient safety and ...