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Clinical Language, Annotation,
Modeling & Processing Toolkit

Our clinical language annotation, modeling, and processing toolkit is an AI-powered environment where you can develop and engineer clinical NLP models. With CLAMP, you can easily recognize and automatically encode clinical information to improve patient outcomes.

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Ranked #1 in multiple head-to-head contests & Google search for “clinical NLP tool”

Award-winning algorithms + GUIs for building a customized solution

2.5 user community (and growing)

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  • Built on proven and accurate methods and models trained using clinical corpora

  • Award-Winning algorithms from many clinical NLP challenges such as i2b2 clinical NER (2009/2010-#2), SHARE/CLEF (2013-#1), and SemEval2014 UMLS encoding (#1)

Related Use Cases

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