BioMedICUS has a new version: https://github.com/nlpie/biomedicus3
The code on this repository is mature but will not be receiving any further updates.
The BioMedical Information Collection and Understanding System (BioMedICUS) is a system for large-scale text analysis and processing of biomedical and clinical reports. The system is being developed by the Natural Language Processing and Information Extraction Program at the University of Minnesota Institute for Health Informatics.
This is a collaborative project that aims to serve biomedical and clinical researchers, allowing for customization with different texts.
BioMedICUS has an RTF Reader, which has the ability to read and process notes that are encoding in RTF. In addition, BioMedICUS uses RTF formatting information downstream to improve other components.
Included in the standard pipeline is an acronym detector, which has the ability to detect and expand acronyms to their equivalent long forms.
BioMedICUS includes a fast concept detector which labels instances of UMLS Metathesaurus concepts in text.
Our wiki on GitHub contains information about installation, configuration, use, and development of BioMedICUS.
For issues or enhancement requests, feel free to submit to the Issues tab on GitHub.
BioMedICUS has a gitter chat for contacting developers with questions, suggestions or feedback.
BioMedICUS is developed by the University of Minnesota Institute for Health Informatics NLP/IE Group with assistance from the Open Health Natural Language Processing (OHNLP) Consortium.
Funding for this work was provided by:
The following people have made code contributions not represented in the commit history: