CoagPredict
CoagPredict is a SYNTHETIC/DEMO blood analysis model for coagulation disorder screening. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified tabular data.
Tabular
NeuroScan Labs
License: BSD-3-Clause
v1.8.1
RTG 4.8
DL 51,614
Metrics
| Metric | Value | Split |
|---|---|---|
| AUC | 0.907 | Synthetic hold-out |
| Calibration (ECE) | 0.065 | Synthetic |
| Inputs | Outputs |
|---|---|
| Coag panel | Disorder likelihood |
Run a synthetic prediction
Returns a deterministic synthetic result — clearly labeled, not for clinical use.
API integration
Call this model from your pipeline (demo — no real key required):
import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-033-coagpredict/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<coag panel>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-033-coagpredict
Version history
| Version | Status | Notes |
|---|---|---|
| v1.8.0 | Archived | Synthetic release note 0 |
| v1.8.1 | Current | Synthetic release note 1 |
Community contributions: 86 synthetic contributors have submitted evaluations and fine-tunes.