MEDIALpy: MEDIcal Abbreviations Lookup in Python

Related tags

Text Data & NLP medicine glossary terminology medical-information medical-abbreviations medical-terminology medical-glossary

Overview

MEDIALpy: MEDIcal Abbreviations Lookup in Python

A small python package that allows the user to look up common medical abbreviations.

Notice: Huge thank you to imantsm for his excellent medical abbreviations repository. If you found utility in this little tool, please go star the original project.

Installation

You can now install this package via PyPi:

pip install medialpy

Alternatively, you can install the development version directly from GitHub with:

pip install git+https://github.com/AberystwythSystemsBiology/MEDIALpy

Common Usage

Find an abbreviation:

import medialpy

term = medialpy.find("T1DM") 
print(term.meaning) #['type 1 Diabetes Mellitus']

Check if an abbreviation exists:

import medialpy

if medialpy.exists("AD"):
    print("Exists")

Check what version of imantsm's data dictionary is being used:

import medialpy

print(medialpy.get_version()) # a62e91303c0966ab6803e765a752581f7d10fff9

Bug reporting and feature suggestions

Please report all bugs or feature suggestions to the issues tracker. Please do not email me directly as I'm struggling to keep track of what needs to be fixed.

We welcome all sorts of contribution, so please be as candid as you want.

License

This project is proudly licensed under the terms of the MIT License.

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Comments

Handling multiple meanings for a term

Hi! This looks like a cool tool that you've built out of the glossary that I've been working on.

I haven't run your code yet, but just taking a glance at the code, I'm not sure the code handles multiple meanings for one term. For example, I think I have something like 6 or 7 meanings for 'ACS'. Maybe if you made your 'meaning' variable an array of strings instead of a string? Again, I haven't run your code yet, so I may have mis-read it.

Cheers, and good job!

opened by imantsm 1
Medical terms

Hi, Firstly thanks for this tool it's quite helpful. Some of the terms aren't getting detected like eg: 'SIADH' whereas if I do 'ADH' it gives me the term but the same term as what comes in SIADH except the SI part. I'm sure this has to do with the data corpus version. I there any latest version which includes terms like these?

opened by anayjain 0

Releases(0.0.4)

0.0.4(Apr 19, 2022)

Full Changelog: https://github.com/AberystwythSystemsBiology/MEDIALpy/compare/0.0.3...0.0.4
Source code(tar.gz)
Source code(zip)
0.0.3(Feb 8, 2022)

Full Changelog: https://github.com/AberystwythSystemsBiology/MEDIALpy/compare/0.0.2...0.0.3
Source code(tar.gz)
Source code(zip)
0.0.2(Feb 8, 2022)

First version of MEDIALpy.

Full Changelog: https://github.com/AberystwythSystemsBiology/MEDIALpy/commits/0.0.2
Source code(tar.gz)
Source code(zip)