ClarusC64/clinical-hemorrhage-compensation-collapse-v0.1

clinical-hemorrhage-compensation-collapse-v0.1

What this dataset does

This dataset evaluates whether models can detect hemorrhage-driven collapse before overt shock is visible.

Each row represents a short clinical trajectory where blood pressure may remain temporarily preserved while compensatory strain increases.

The task is to classify whether the trajectory remains compensated or is moving toward hemorrhage-related collapse.

Core stability idea

Hemorrhage can remain hidden while compensatory mechanisms maintain blood pressure.

A patient may appear stable from MAP alone while heart rate rises, shock index worsens, hemoglobin drifts downward, pulse pressure narrows, skin perfusion weakens, and definitive bleeding control is delayed.

The dataset tests interaction reasoning across:

• —MAP trajectory
• —heart-rate trajectory
• —shock-index trajectory
• —hemoglobin trajectory
• —pulse-pressure trajectory
• —skin perfusion proxy
• —fluid response
• —bleeding control delay

Prediction target

label = 1 → hemorrhage compensation collapse risk label = 0 → compensated or stable hemorrhage trajectory

Row structure

Each row includes:

• —MAP trajectory
• —heart-rate trajectory
• —shock-index trajectory
• —hemoglobin trajectory
• —pulse-pressure trajectory
• —skin perfusion proxy
• —fluid response
• —bleeding control delay

Decoy variables:

• —measurement_noise
• —chart_noise

These variables appear meaningful but do not determine the label alone.

Evaluation

Predictions must use: scenario_id,prediction HC101,0 HC102,1

Run:

python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json

Metrics returned:

• —accuracy
• —precision
• —recall
• —f1
• —confusion matrix
• —dataset integrity diagnostics

Structural Note

This dataset reflects latent stability geometry through observable proxies.

The generator and latent rule structure are not included.

This dataset is part of the Clarus Stability Reasoning Benchmark.

Production Deployment

This dataset is intended as a compact benchmark for reasoning over masked hemorrhage instability.

It is not a clinical decision tool.

Enterprise & Research Collaboration

This dataset supports research into:

• —compensated hemorrhage detection
• —hidden instability
• —delayed collapse
• —trajectory-based clinical reasoning
• —cross-domain stability benchmarks

License

MIT