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
- Python >=3.9,<=3.11.
- Java JDK 11+. Note, you will need to have the "java" command on the your "$PATH".
Installation
Installation instructions are available on our website.
Guides
Additional guides for usage and development are also available on our website.
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.
Release files for biomedicus 3.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| biomedicus-3.5.0.tar.gz | 102.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| biomedicus-3.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 204.2 MB
Release files / biomedicus-3.5.0.tar.gz
| Download URL | biomedicus-3.5.0.tar.gz |
|---|---|
| Size | 102.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
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Release files / biomedicus-3.5.0-py3-none-any.whl
| Download URL | biomedicus-3.5.0-py3-none-any.whl |
|---|---|
| Size | 101.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|