MedCodeMap 1.4

A package for medical code mapping

MedCodeMap: Medication Code Mapping Tool

We have renamed the package into "MedCodeMap".

There are many medication/drug taxonomy systems, such as RXCUI, NDC, ATC. I feel it time-consuming and very confusing to map codes between two different systems during working on this drug recommendation project https://github.com/ycq091044/SafeDrug. Sometimes, the code mapping resources cannot be accessible as well. To help others onboarding, here we go!

This python package provides an easy-to-use medication code mapping tool. Within the supported drug coding systems, it provides easy functions to map from one coding system to another coding system. Currently, we support the following drug coding systems

• NDC10: the National Drug Codes system on 10-digit level
• NDC11: the National Drug Codes system on 11-digit level
• RXCUI: RxNorm concept unique identifier
• ATC4: Anatomical Therapeutic Chemical code level-4
• Name: drug string-based name, e.g., Lorazepam
• SMILES: drug smiles string

For any given combination of coding systems, we will provide the mapping functions. For example

• User Input: NDC10, RXCUI, ATC4
• Output Python Dictionary Object
  • NDC10_to_RXCUI, NDC10_to_ATC4, RXCUI_to_NDC10, RXCUI_to_ATC4, ATC4_to_NDC10, ATC4_to_RXCUI

---

1. Package Installation

# get from PyPI
$ pip install MedCodeMap

# local installation
$ cd ~/MedCodeMap
$ pip3 install dist/MedCodeMap-[VERSION-ID]-py3-none-any.whl

To look up for help, directly type "MedCodeMap" in the cmd and the help message will pop up.

$ MedCodeMap

2. Quick Usage

Load all mappings during initialization

from MedCodeMap import CodeMapping
# initialize with a list of supported coding systems
tool = CodeMapping('NDC10', 'RXCUI', 'Name', 'SMILES')
tool.load()

# we are good to go, e.g.,
tool.RXCUI_to_SMILES['312055']
tool.NDC_to_Name['76413-153-06']
...

Want to add more coding systems later?

# add additional coding system
tool.add_new_code("NDC11")

# we are good to go, e.g.,
tool.NDC_to_NDC11['76413-153-06']

• check test/Example.ipynb for examples.
• Implementation Features --- Minimal Computation. The tool will require minimum computation cost for generating all necessary combinations within the listed coding systems, and other mapping functions will not be generated. For example, in this demo, NDC11_to_RXCUI will not be accessible since NDC11 is not listed in the user input (before). Our minimal cost computation relies on that we maintain a graph structure of the listed coding systems and use shortest path method to find the missing mapping.

3. Current Data Resources

The current data resources are loaded from Google Drive. We basically borrow the data from

• SafeDrug: https://github.com/ycq091044/SafeDrug/tree/main/data/input

• DrugBank: https://www.dropbox.com/s/angoirabxurjljh/drugbank_drugs_info.csv?dl=0

  # Google Drive Link
  https://drive.google.com/uc?id=1I2G6fsBDXDiAK95qFWwtnl3Ib2MaLeCx
  https://drive.google.com/uc?id=1d2HzsByXrPadvjaKDOEaOt78OkAZOrjC
  https://drive.google.com/uc?id=199i8mP2gMQNhwUe-2ZNmIr5fhiBbzVlK
  https://drive.google.com/uc?id=1Z11J4st1sI44jPborls9jIxzcpF-GpGt
  

• We are going to integrate more resources for supporting other coding systems, such as SNOMED.