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-3.3.0.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

biomedicus_client-3.3.0-py3-none-any.whl (25.1 kB view details)

Uploaded Python 3

File details

Details for the file biomedicus_client-3.3.0.tar.gz.

File metadata

  • Download URL: biomedicus_client-3.3.0.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-3.3.0.tar.gz
Algorithm Hash digest
SHA256 2bb40ca5cb509da2594948dd564f37a75d75669b197dd409137096ee90f5003e
MD5 8fc0c67aea3ae6d617703636cd05b010
BLAKE2b-256 8a4d675237769b48622448f58610bcf9d9a0c797909d162de1cffccf4127492c

See more details on using hashes here.

File details

Details for the file biomedicus_client-3.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for biomedicus_client-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7dbde4a8b3818cd7b3a3f7154cdde1cfcb4bbce1252bef0623ff5215475340ca
MD5 1e1f98d0e4ebad0fdd92d8d5946df5b8
BLAKE2b-256 b9161af892e9de15c7fdaf9be82d748781fa5be70101a874a9ccd4bf01938713

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