sunlabuiuc / PyHealth
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Why this job: works in the areas we cover, but does not say which job it does
What it does
PyHealth is an open-source PyTorch toolkit for building, benchmarking and reproducing clinical AI models. It works with electronic health records (MIMIC-III, MIMIC-IV, eICU, OMOP), clinical text, biosignals (EEG, ECG) and medical images.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 1,697
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.1.0
- Released 27 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 32 still open
- Pull requests
- 626 merged
- 59 waiting
- Releases
- 7
- 4 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Cython <1%
- Makefile <1%
Topics
- healthcare
- data-mining
- deep-learning
- preprocessing
- clinical-data
- clinical-research
- electronic-medical-record
- medical-code
- electronic-health-record
- benchmark
- clinical-nlp
- ehr
Project record
- JobOther AI tools
- StatusListed
- Commits1,173
- Forks871
- Watching32
- Stars in 28 days+28
- CreatedAug 3, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026