Metadata-Version: 2.1
Name: ehrt
Version: 0.1.0
Summary: EHRT - Electornic Health Records Toolkit
Home-page: https://github.com/apvidul/ehrt/
Author: Vidul Ayakulangara Panickan
Author-email: Vidul Ayakulangara Panickan <apvidul@gmail.com>
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# ehrt

`ehrt` is a set of foundational tools and pipelines for processing EHR data to create research ready datasets. TETHER is a learning library designed to help analysts and healthcare professionals familiarize themselves with EHR processing.

## Installation

Install via pip

## Usage

```python
from ehrt import nlp

# Example text and dictionary
text = "This is an example input to process."
dictionary_path = "sample_dict.txt"

# The dictionary should can be a csv file containg two columns: string,cui

# Traverse the text to find CUIs
result = nlp.text2cui.traverse(text, dictionary_path)

print(result)
