HipAAsynth/stroke-tribal-icu-cohort-100
Stroke ICU Cohort — Northern Plains Tribal Profile (n=100, synthetic) Summary A synthetic acute-stroke ICU cohort generated against a Northern Plains tribal health profile (rural Indian Health Service service area, American Indian/Alaska Native-majority). It pairs an acute-stroke decision module (NIHSS, tPA eligibility/administration, onset-to-door and door-to-needle timing, modified Rankin outcomes) with a rural, low-connectivity deployment demographic to probe… See the full description on the dataset page: https://huggingface.co/datasets/HipAAsynth/stroke-tribal-icu-cohort-100.
Stroke ICU Cohort — Northern Plains Tribal Profile (n=100, synthetic)
Summary
A synthetic acute-stroke ICU cohort generated against a Northern Plains tribal health profile (rural Indian Health Service service area, American Indian/Alaska Native-majority). It pairs an acute-stroke decision module (NIHSS, tPA eligibility/administration, onset-to-door and door-to-needle timing, modified Rankin outcomes) with a rural, low-connectivity deployment demographic to probe stroke-pathway performance in an under-represented population.
Every record is fully synthetic — generated by a computer algorithm. No real patient data is present.
Reproducibility
This cohort is deterministic: regenerating with the same engine version, scenario, and seed reproduces byte-identical output. Each row also carries its own per-patient seed, and the file is fingerprinted below.
- CSV SHA-256:
8927d363c52feec79d740815354cd1f3b82dfcf66142f2523fcc40eef1470d21 - Determinism: verified Run A = Run B (identical SHA-256)
Regenerate with the HipAAsynth engine:
hipaasynth --demo --count 100 --seed 5101 --scenario tribal_stroke --format csvSchema
37-column structured CSV (cohort.csv):
License
This dataset 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 larger cohorts or commercial inquiries, contact hipaasynth@gmail.com · https://hipaasynth.com
