The following are not part of Apache cTAKES but may be of interest to cTAKES users.
| Name | When used | Site | Description | License |
|---|---|---|---|---|
| Anafora | github.com/weitechen/anafora | web-based raw text annotation tool | https://github.com/weitechen/anafora#download-anafora | |
| Annotation Viewer | post | github.com/GeisingerBTI/AnnotViewer | view cTAKES' annotations from XMIs in a batch | https://github.com/GeisingerBTI/AnnotViewer/blob/master/LICENSE |
| Command line tool | wrapper | github.com/giuseppetotaro/ctakes-clinical-pipeline | run the complete pipeline for annotating clinical documents in plain text format using the built in UMLS (SNOMEDCT and RxNORM) dictionaries from a command line | https://github.com/giuseppetotaro/ctakes-clinical-pipeline#license |
| Command line tool | wrapper | github.com/dmitriydligach/ctakes-misc | a simple pipeline that involves dictionary lookup. Mentioned in this post to dev@. | unknown |
| Hadoop, cTAKES integration | github.com/pcodding/hadoop_ctakes | allows cTAKES to be invoked on clinical document data presented as Tuples to cTAKES | https://github.com/pcodding/hadoop_ctakes/blob/master/LICENSE | |
| MIST | pre | mist-deid.sourceforge.net/ | a suite of tools for identifying and redacting PII in free-text medical records | See "What license does it have?" on |
| RESTful interface | wrapper | github.com/dirkweissenborn/ctakes-server | a simple REST-server around ctakes clinical pipeline | unknown |
| Tika, cTAKES integration | wiki.apache.org/tika/cTAKESParser | detects and extracts from over a thousand different file types | http://www.apache.org/licenses/ | |
UMLS and NLM tools such as | www.nlm.nih.gov/research/umls/implementation_resources/ | NLM applications utilize UMLS data | https://uts.nlm.nih.gov//license.html |
Definitions
PII = personally identifiable information
MIST = MITRE Identification Scrubber Toolkit
NLM = U.S. National Library of Medicine
UMLS = Unified Medical Language System