A Python library for a learning health system
Project description
medkit
medkit is a toolkit for a learning health system, developed by the HeKA research team.
This python library aims at:
- (1) facilitating the manipulation of healthcare data of various modalities (e.g., structured, text, audio data) for the extraction of relevant features and
- (2) developing supervised models from these various modalities for decision support in healthcare.
Getting started
To get started with medkit, follow the installation instructions described in our documentation website. This website also contains tutorials and examples that you can use for starting with medkit.
Contributing
Thank you for your interest into medkit !
We'll be happy to get your inputs !
If your issue has not been reported by another user, please, open a github issue, whether it's for:
- reporting a bug,
- discussing the current state of the code,
- submitting a fix,
- proposing new features,
- or contributing to documentation, ...
If you want to propose a pull request, you can read CONTRIBUTING.md.
Contact
You can directly contact us by mailing to medkit-maintainers@inria.fr.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file medkit_lib-0.9.2.tar.gz.
File metadata
- Download URL: medkit_lib-0.9.2.tar.gz
- Upload date:
- Size: 196.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.8.18 Linux/5.4.0-146-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4fa723308ef54a629fb6c6617082dc9b628f860cc40d3148a46a292d5c2a80a6 |
|
| MD5 | 1e6505fe36be89e668b26c9b53940e73 |
|
| BLAKE2b-256 | 70f661a0acaf27d4fdaaca78a8cf0b5c78896e2916d091ef2560dc82c92f341f |
File details
Details for the file medkit_lib-0.9.2-py3-none-any.whl.
File metadata
- Download URL: medkit_lib-0.9.2-py3-none-any.whl
- Upload date:
- Size: 257.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.8.18 Linux/5.4.0-146-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 26bf80587e0aa054453cbd977b040cac1d496023eb86423d8ebfe8c40b1ae027 |
|
| MD5 | 47242b2b91384787b67ac82e1626f7a9 |
|
| BLAKE2b-256 | eedc7ce92c04e70846e4bdc73935f56015a4d839023d98197a04bfcb5bf14db2 |
