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TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com
*** NOTICE: this software and forum are no longer maintained, as of 8/15/2019. ...
This ohnlp project has released "pipelines" that were contributed by members of the OHNLP Consortium. The pipelines are based on the Apache UIMA framework.
medKAT/P, MedCoref, MedTagger, MedXN, and cTAKES are licensed under Apache License V2.0.
MedTime is licensed under GNU General Public License version 3.0 (GPLv3).
cTAKES development has moved to apache.org.
See http://ctakes.apache.org/
This is a toolkit for medical natural language processing (NLP). The core engine is general enough to be used in a variety of text processing domains, though the toolkit includes specific support for medical reports and patient de-identification.
The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.