Skip to main content

A biomedical and clinical natural language processing engine.

Project description

BioMedICUS Client

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.

This package contains the client code for processing documents using deployed BioMedICUS services. The package containing the services themselves is biomedicus.

Prerequisites

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

biomedicus_client-3.4.0.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

biomedicus_client-3.4.0-py3-none-any.whl (25.1 kB view details)

Uploaded Python 3

File details

Details for the file biomedicus_client-3.4.0.tar.gz.

File metadata

  • Download URL: biomedicus_client-3.4.0.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0rc1

File hashes

Hashes for biomedicus_client-3.4.0.tar.gz
Algorithm Hash digest
SHA256 020a29e886f2061f9bec7bedd71ef48918ee5ebd201cc4d564275ffc2afec03d
MD5 b9ba9e288239cceeb7b5b0c0dc59930e
BLAKE2b-256 16139c41fb78c49680a4c13dd0098728a6a602bea38986a33f7d84fea841d211

See more details on using hashes here.

File details

Details for the file biomedicus_client-3.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for biomedicus_client-3.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8096154c3041e6616e168fe6b221c34687bafc855b970ae0e44e6fa537eb08a2
MD5 147a077e0813328962b6bf627b467fae
BLAKE2b-256 a8d8859bb02244e8df0ffed79a065c1f70d3620bae9488a05c6f128511952388

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page