Apache cTAKES

Apache cTAKES
Apache cTAKES
Developer(s)	Apache Software Foundation
Stable release	6.0.0 / September 16, 2024
Repository	cTakes Repository
Written in	Java, Scala, Python
Operating system	Cross-platform
Type	Natural language processing, Bioinformatics, Text mining, Information Extraction
License	Apache License 2.0
Website	Official website

Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source Natural Language Processing (NLP) system that extracts clinical information from electronic health record unstructured text. It processes clinical notes, identifying types of clinical named entities — drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity has attributes for the text span, the ontology mapping code, context (family history of, current, unrelated to patient), and negated/not negated.^[1]

cTAKES was built using the UIMA Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit.^[2]^[3]

^ Denecke, Kerstin (2015-08-31). "Tools and Resources for Information Extraction". Health Web Science: Social Media Data for Healthcare. Springer. p. 67. ISBN 978-3-319-20582-3 – via Google Books.
^ Khalifa, Abdulrahman; Meystre, Stéphane (2015-12-01). "Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes". Journal of Biomedical Informatics. Proceedings of the 2014 i2b2/UTHealth Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data. 58 (Supplement): S128 – S132. doi:10.1016/j.jbi.2015.08.002. PMC 4983192. PMID 26318122.
^ Khudairi, Sally (2017-04-25). "The Apache Software Foundation Announces Apache® cTAKES™ v4.0" (Press release). Forest Hill, MD: The Apache Software Foundation. Globe Newswire. Retrieved 2017-09-20.

[1] Denecke, Kerstin (2015-08-31). "Tools and Resources for Information Extraction". Health Web Science: Social Media Data for Healthcare. Springer. p. 67. ISBN 978-3-319-20582-3 – via Google Books.

[2] Khalifa, Abdulrahman; Meystre, Stéphane (2015-12-01). "Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes". Journal of Biomedical Informatics. Proceedings of the 2014 i2b2/UTHealth Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data. 58 (Supplement): S128 – S132. doi:10.1016/j.jbi.2015.08.002. PMC 4983192. PMID 26318122.

[3] Khudairi, Sally (2017-04-25). "The Apache Software Foundation Announces Apache® cTAKES™ v4.0" (Press release). Forest Hill, MD: The Apache Software Foundation. Globe Newswire. Retrieved 2017-09-20.

[1]

[2]

[3]