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Analysis Engines/Pipelines

The analysis engines and collection processing engines shipped with cTAKES for some of the annotators are described in the following table. 

Annotator

Description

Example Piper file

Clinical Pipeline

The pipeline to obtain concepts and their attributes

<cTAKES_HOME>/TBD

Chunker

Obtains phrasal chunk annotations

<cTAKES_HOME>/TBD

Dependency Parser

Obtains dependency parsing tree

<cTAKES_HOME>/TBD

Drug NER

Finds mentions of medications and medication attributes such as dose, strength, frequency...

<cTAKES_HOME>/TBD

Dictionary Lookup

Finds mentions of concepts from a dictionary (e.g., SNOMED CT or RxNorm

<cTAKES_HOME>/TBD

Dictionary Lookup Fast

Finds mentions of concepts from a dictionary (e.g., SNOMED CT or RxNorm

<cTAKES_HOME>/TBD

Relation Extractor

Finds certain relations (location of and degree of) between certain Event, Entity, and Modifier annotations

<cTAKES_HOME>/TBD

Smoking Status

Finds document or patient-level smoking status

<cTAKES_HOME>/TBD

Side Effect

Finds side effect mentions and sentences from clinical documents

<cTAKES_HOME>/TBD

Next Steps

The cTAKES 4.0 Component Use Guide will help you to understand each of the cTAKES components that have been installed. In some cases you can learn how to improve the components.

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