cTAKES

Resource URLs: 

https://cabig-kc.nci.nih.gov/Vocab/KC/index.php/OHNLP_Documentation_and_Downloads
http://sourceforge.net/projects/ohnlp/

Description: 

 Excellent general purpose clinical NLP pipeline.  Based on UIMA. 

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Citations: 

Savova, Guergana; Kipper-Schuler, Karin; Buntrock, James; and Chute, Christopher. UIMA-based clinical information extraction system. In LREC 2008: Towards enhanced interoperability for large HLT systems: UIMA for NLP. Marrakech, Morocco. 2008.
Savova, Guergana; Masanz, James; Ogren, Philip; Zheng, Jiaping; Sohn, Sunghwan; Kipper-Schuler, Karin and Chute, Christopher. Mayo Clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. JAMIA 2010;17:507-513.

Available documentation: 

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Development milestones: 

Release 1.1, December 2010

The SHARP 4 NLP team is excited to announce the release of cTAKES 1.1. This is the first cTAKES release from efforts completed through the ONC-funded SHARP project (see SHARPn.org).

The new software includes an updated medication annotator that will allow researchers to extract drug mentions from clinical free text. This was first developed under a grant from the AT&T Foundation. It includes features such as Frequency, Dosage, Strength, Form, Route, Duration, and Drug change status.

This version of cTAKES also includes a dependency parser (ClearParser) — a foundational component that analyzes syntactic structure. This building block enables the development of future cTAKES components that utilize grammatical context to extract events, attributes, and relations from clinical documents.

Date of latest version: 

December 17, 2010
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