Skip to main content

A package utilizing Named-Entity Recognition (NER) model to identify prescription drugs present in a provided text sample

Project description

This is a python package that provides functionality for a Named-Entity Recognition (NER) model to identify names of pharmaceutical drugs within a text sample.

Installation

The package can be installed from the command line with the following command

pip install PharmaPy

Sample Usage

from PharmaPy import request

sampletext = "After surgery, David was given oxycodone for pain, prednisone to reduce inflammation, and benazepril for blood pressure control."

request.get(sampletext)

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

pharmapy-0.0.2.tar.gz (17.8 kB view hashes)

Uploaded Source

Built Distribution

pharmapy-0.0.2-py3-none-any.whl (3.1 kB view hashes)

Uploaded Python 3

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