EHR Functions

A library of useful EHR related functions.

About

This is a library of useful EHR functions for use within Python, especially when using Jupyter notebooks.

When utilizing Jupyter notebooks for processing data and training models I found myself copying the same code between notebooks. This code consisted of steps to split my data, create a model, compute some metrics, etc.; and thus the notebooks became very long with little focus on the actual analysis. Therefore, this set of functions were created to allow for a focus on analysis and to abstract away the process of cleaning data and running models.

WARNING

The documentation is still being written out so a lot of sections are left blank.

Example

from ehr_functions.features import demographics
import pandas as pd 

df = pd.DataFrame({
    'PatientID': [1, 2, 3, 4],
    'PatientAge': [21, 35, 27, 24],
    'PatientGender': ['M', 'F', 'M', 'F'],
    'PatientService': ['A', 'B', 'C', 'A'],
})

dems = demographics.get_features(df)
print(dems.head())

PatientID	PatientAge	PatientGender	PatientService_A	PatientService_B	PatientService_C
1	21	1	1	0	0
2	35	0	0	1	0
3	27	1	0	0	1
4	24	0	1	0	0