Datasets:
HipAAsynth Dataset
Summary
This dataset is a validation artifact generated by HipAAsynth.
HipAAsynth is a deterministic testing and validation service that simulates real-world variability to evaluate how healthcare systems perform under deployment conditions.
Description
This dataset represents a controlled cohort used for testing and benchmarking.
HipAAsynth generates cohorts to simulate how conditions present across:
- patient populations
- demographic distributions
- comorbidity patterns
Datasets are designed for repeatable evaluation and consistent comparison across systems.
Schema
13-column structured CSV:
| Column | Description |
|---|---|
| patient_id | Unique patient identifier |
| age | Age in years |
| sex | Biological sex |
| ethnicity | Patient ethnicity |
| height_cm | Height in centimeters |
| weight_kg | Weight in kilograms |
| bmi | Body mass index |
| bmi_category | BMI classification (Underweight / Normal / Overweight / Obese) |
| conditions | Pipe-delimited list of active clinical conditions |
| num_visits | Total encounter visit count |
| num_labs | Total lab order count |
| synthetic | Always true — no real patient data |
| disclaimer | Data use disclaimer |
License
| Engine License | Apache-2.0 |
| Data License | CC BY-NC 4.0 |
Commercial Usage & Licensing
This dataset is part of the HipAAsynth Phase 2 Robustness Evaluation. It is provided for non-commercial research, transparency, and audit purposes under the CC BY-NC-ND 4.0 license. Commercial use, including model training for profit or benchmarking by commercial entities, requires a separate license. For full dataset access (n=2,500) or commercial inquiries, contact: hipaasynth@gmail.com.
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