Hybrid Pipeline - CLAMP

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The CLAMP system provides high-performance NLP modules and pipelines customized for clinical text. Its user-friendly interfaces quickly build customized NLP pipelines.

  • Annotate local data and retrain machine learning models with a few clicks

  • Specify rules on top of ML models to improve performance

  • Export NLP pipelines as web services for easy integration

  • Provide Java APIs for individual components for system integration

Clamp FEATURES

Move to structured, adaptable and actionable data

NLP BUILT FOR CLINICAL TEXT

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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)

ANNOTATION AND CORPORA MANAGEMENT

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  • Built-in, adaptable annotation tool that supports different IO methods (e.g., files or databases) and collaborative annotation by a team

  • Compatible/flexible between different annotation tools (e.g., Brat, eHost, MAE etc.)

MACHINE LEARNING AND HYBRID APPROACHES

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  • With one simple click, gain unparalleled access to unstructured textual data to train your own models using machine and deep learning algorithms.

  • Compare different models with provided evaluation programs and visualization interfaces

CUSTOMIZED PIPELINES
 

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  • Build your own NLP pipelines using both machine learning and rules using our adaptable software.

  • Leverage existing pipelines to avoid NLP development from scratch

KNOWLEDGE BASES AND SAMPLE CLINICAL TEXT

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  • All knowledge bases (e.g., dictionaries) required are provided

  • More than 300 simulated clinical notes are included and are measurably more accurate than other tools.

INTEROPERABILITY AND SCALABILITY

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  • Build on the UIMA framework, thus compatible with other systems such as cTAKES

  • Thread safe and validated on parallel computing platforms such as SPARK and Hadoop