https://github.com/jianlins/pyrush

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https://github.com/jianlins/pyrush

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• Host: GitHub
• URL: https://github.com/jianlins/pyrush
• Owner: jianlins
• License: mit
• Created: 2018-01-01T19:10:44.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-09-03T22:12:01.000Z (3 months ago)
• Last Synced: 2024-10-26T15:53:25.162Z (25 days ago)
• Language: Python
• Size: 44.5 MB
• Stars: 11
• Watchers: 2
• Forks: 9
• Open Issues: 2
• Metadata Files:
  • Readme: README.MD
  • License: LICENSE

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README

        
# PyRuSH

PyRuSH[jre] is the python interface to

RuSH(https://github.com/jianlins/RuSH) (**Ru** le-based sentence **S**

egmenter using **H** ashing), which is originally developed using Java. 

This jre branch is implemented through py4j, compared with default PyRuSH.

RuSH is an efficient, reliable, and easy adaptable rule-based sentence

segmentation solution. It is specifically designed to handle the

telegraphic written text in clinical note. It leverages a nested hash

table to execute simultaneous rule processing, which reduces the impact

of the rule-base growth on execution time and eliminates the effect of

rule order on accuracy.

If you wish to cite RuSH in a publication, please use:

Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F.

Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely

Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc.

2016: 1587.

The full text can be found

[here](https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616).

## Installation

> pip install PyRuSH[jre]

## How to use

A standalone RuSH class is available to be directly used in your code.

From 1.0.4, pyRush adopt spaCy 3.x api to initiate an component.

```python

from PyRuSH import RuSH

input_str = "The patient was admitted on 03/26/08\n and was started on IV antibiotics elevation" +\

             ", was also counseled to minimizing the cigarette smoking. The patient had edema\n\n" +\

             "\n of his bilateral lower extremities. The hospital consult was also obtained to " +\

             "address edema issue question was related to his liver hepatitis C. Hospital consult" +\

             " was obtained. This included an ultrasound of his abdomen, which showed just mild " +\

             "cirrhosis. "

rush = RuSH('../conf/rush_rules.tsv')

sentences=rush.segToSentenceSpans(input_str)

for sentence in sentences:

    print("Sentence({0}-{1}):\t>{2}<".format(sentence.begin, sentence.end, input_str[sentence.begin:sentence.end]))

```

## Spacy Componentized PyRuSH

Start from version 1.0.3, PyRuSH adds Spacy compatible Sentencizer

component: PyRuSHSentencizer.

```python

from PyRuSH import PyRuSHSentencizer

from spacy.lang.en

import English \>\>\> nlp = English() \>\>\>

nlp.add_pipe("medspacy_pyrush")

doc = nlp("This is a sentence. This is another sentence.")

print('n'.join(\[str(s) for s in doc.sents\]))

```

## A Colab Notebook Demo

Feel free to try this runnable [Colab notebook

Demo](https://colab.research.google.com/drive/1gX9MzZTQiPw8G3x_vUwZbiSXGtbI0uIX?usp=sharing)