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-3.4.3.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

biomedicus_client-3.4.3-py3-none-any.whl (25.1 kB view details)

Uploaded Python 3

File details

Details for the file biomedicus_client-3.4.3.tar.gz.

File metadata

  • Download URL: biomedicus_client-3.4.3.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for biomedicus_client-3.4.3.tar.gz
Algorithm Hash digest
SHA256 50d01355c26dd8212327bb76f09302435cd5199bcfbefefbaa70af6695df7f8b
MD5 a56b6e13a2afeac0dd11f6edb3f04cbc
BLAKE2b-256 281160f0da793072088c23095d0e28abc80333400aec85f7645c96dffdcb5b20

See more details on using hashes here.

File details

Details for the file biomedicus_client-3.4.3-py3-none-any.whl.

File metadata

File hashes

Hashes for biomedicus_client-3.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 55a04132071b17b7c398b461300dbf64ea0b8bdf6514f8669590ef460c09b393
MD5 c88f615ebed0e7e611cff813687d7f49
BLAKE2b-256 48a9faea13a76dcfbb64179cc0353e4ed9fb9b76e44ae59fe038fe5df36a7c09

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