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A biomedical and clinical NLP engine.

Project description

BioMedICUS

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.

More information about BioMedICUS can be found on our website.

Prerequisites

Installation

pip install biomedicus\[torch]

Deploying the default BioMedICUS Pipeline

The following command runs a script that will start up all of the BioMedICUS services for processing clinical notes:

biomedicus deploy --download-data

Processing a directory of text files using BioMedICUS

After deploying BioMedICUS, you can process a directory of documents using the following command:

biomedicus run /path/to/input_dir /path/to/output_dir

This will process the documents in the directory using BioMedICUS and save the results as json-serialized MTAP Events to output directory.

Contact

BioMedICUS is developed by the NLP/IE Group at the University of Minnesota Institute for Health Informatics. You can contact us at nlp-ie@umn.edu.

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Files for biomedicus, version 3.0b2
Filename, size File type Python version Upload date Hashes
Filename, size biomedicus-3.0b2-py3-none-any.whl (37.5 MB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size biomedicus-3.0b2.tar.gz (38.6 MB) File type Source Python version None Upload date Hashes View hashes

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