Overview#
medkit is a Python library which facilitates extraction of features
from various modalities of patient data, including text and audio for now
– relational, image, genetic, and others will follow soon.
medkit places a strong emphasis on non-destructive operations,
i.e. no loss of information when passing data from a module to another,
and a flexible tracing of data provenance.
It enables composition of pipelines with multiple modules,
developed by the HeKA Research Team, contributors, and eventually yourself.
medkit aims at accelerating the development of a learning health system,
with a strong dedication to open-source and community development.
To get started with medkit
To walk through medkit features
To learn medkit by examples
For developers and contributors
Warning
The medkit core library is still under heavy development and testing.
Some public interfaces may change in the future.
Please check the BREAKING CHANGES section of the project’s changelog for details.