aanaseer/ScoEHR
Generating synthetic Electronic Health Records using continuous-time diffusion models.
This tool helps healthcare researchers and data scientists create realistic, synthetic Electronic Health Records (EHRs) for research or development purposes. It takes real patient EHR data as input and generates new, artificial EHRs that mimic the statistical properties and patterns of the original data. This enables studies and software testing without compromising patient privacy.
No commits in the last 6 months.
Use this if you need to generate privacy-preserving, high-fidelity synthetic patient data for medical research, algorithm development, or testing without access to sensitive real patient records.
Not ideal if you need to analyze or work with actual patient data for clinical care or require data that can be directly linked back to real individuals.
Stars
10
Forks
1
Language
Python
License
—
Category
Last pushed
Aug 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/aanaseer/ScoEHR"
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