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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*** NOTICE: this software and forum are no longer maintained, as of 8/15/2019. ...
...FlexiTerm uses a range of methods to neutralise the main sources of term variation.
FlexiTerm is robust enough for less formally structured texts, such as those found in patient blogs or medical notes.
...It has been tested under apache-tomcat.
The original system has been successfully used to carry out active learning activities with medical students. However, it could be interesting in much more knowledge fields.
ConTextKit is a Java-based implementation of Wendy Chapman's ConText algorithm for annotating the context of medical documents, specifically the negation, temporality, and experiencer.