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
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NOTE: For latest version, please visit https://github.com/ispasic/FlexiTerm.
FlexiTerm is an open-source software tool for automatic term recognition.
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.
CLEiM (Cross Lingual Education in Medicine) is an opensource version of an Intelligent System which extract concepts from medical texts and provides qualified information. It integrates information from various sources. This system has been developed by the Intelligent System Group GSI (http://www.esi.uem.es/gsi/) at UEM University.
We do NER (Named Entity Recognition) based on GATE platform.
The installation is simple, you can use it as a Web application. It has been tested under...
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.
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