Frequently Asked Questions#


Blueprint & Development Plan#

The long term goal of PyHealth is to become a comprehensive healthcare AI toolkit that supports beyond EHR data, but also the images and clinical notes.

This is the central place to track important things to be fixed/added:

  • The support of image datasets and clinical notes

  • The compatibility and the support of OMOP format datasets

  • Model persistence (save, load, and portability)

  • The release of a benchmark paper with PyHealth

  • Add contact channel with Gitter

  • Support additional languages, see Manage Translations

Feel free to open on issue report if needed. See Issues.

Inclusion Criteria#

Similarly to Similarly to scikit-learn, We mainly consider well-established algorithms for inclusion. A rule of thumb is at least two years since publication, 50+ citations, and usefulness.

However, we encourage the author(s) of newly proposed models to share and add your implementation into combo for boosting ML accessibility and reproducibility. This exception only applies if you could commit to the maintenance of your model for at least two year period.