---
language:
- en
license: mit
task_categories:
- text-classification
tags:
- clinical
- clinical-reasoning
- constraint-pressure
- treatment-boundary
- reserve-capacity
- stability
- evidence-fidelity
size_categories:
- n<1K
pretty_name: Clinical Constraint Pressure
---

# What this dataset does

This dataset tests whether a model can estimate how close a patient is to a treatment boundary.

The task is not to predict diagnosis.

The task is to classify pressure on the patient system.

# Core stability idea

A patient may be stable at the present moment while operating close to a boundary.

Constraint pressure increases when support needs rise and reserve capacity falls.

The model must classify whether pressure is low, medium, or high.

# Prediction target

The label column has three classes.

Label 0 means low constraint pressure.

Label 1 means medium constraint pressure.

Label 2 means high constraint pressure.

# Row structure

Each row contains:

- scenario_id
- oxygen_requirement
- vasopressor_requirement
- renal_function
- urine_output
- mental_status
- respiratory_reserve
- circulatory_reserve
- renal_reserve
- label

oxygen_requirement uses:

- 0 = room air or minimal support
- 1 = low oxygen requirement
- 2 = high oxygen requirement
- 3 = near respiratory boundary

vasopressor_requirement uses:

- 0 = none
- low
- moderate
- high

reserve fields use:

- high
- medium
- low
- very_low

# Evaluation

Submissions must contain:

```csv
scenario_id,prediction
test_001,0
test_002,0
test_003,1

Run:

python scorer.py predictions.csv

Optional truth path:

python scorer.py predictions.csv data/test.csv

The scorer reports:

Accuracy
Macro precision
Macro recall
Macro F1
Confusion matrix
Structural Note

This dataset tests boundary awareness.

It is designed to prevent shortcut logic based only on current vital signs.

The intended reasoning requires integration across support requirements, organ reserve, and proximity to treatment limits.

The dataset does not expose the hidden rationale behind each label.

License

MIT