meds_reader: A Pythonic interface for MEDS datasets
meds_reader is a fast and easy-to-use library for reading and processing subject data stored in MEDS (Medical Event Data Standard) format using a Python-native API.
Inspired by HuggingFace Datasets, meds_reader transforms MEDS datasets into collections of Python objects, that can then be processed using normal Python functions.
Example
# First we need to convert to a database
# That requires running the following command in a terminal
$ meds_reader_convert mimic_meds mimic_meds_reader --num_threads 4
# Now we can use Python to interact with our data
import meds_reader
# We can now construct a database
database = meds_reader.SubjectDatabase("mimic_meds_reader")
# Databases are dict-like objects that store subject data
# We can iterate through all the subject ids in the database
for subject_id in database:
# We can retrieve subject data given a subject_id
subject = database[subject_id]
# Subject data can be manipulated with normal Python operations
print(subject.subject_id)
for event in subject.events:
print(event.time, event.code)
# We can also iterate through all properties in a generic manner
for property_name, property_value in event:
print(property_name, property_value)
To learn more, see our full documentation.
Installation
meds_reader can be installed using pip.
pip install meds_reader
Interactive Demo
An interactive demo can be found at Google Colab.
1 maintainer
Metadata
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Release files for meds-reader 0.2.0
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