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id
string
context
string
step_unit
string
pressure_t0
float64
pressure_t1
float64
pressure_t2
float64
pressure_t3
float64
buffer_t0
float64
buffer_t1
float64
buffer_t2
float64
buffer_t3
float64
lag_t0
float64
lag_t1
float64
lag_t2
float64
lag_t3
float64
coupling_t0
float64
coupling_t1
float64
coupling_t2
float64
coupling_t3
float64
cross_step
int64
notes
string
label_cascade_state
int64
ICU-0001
Stable ICU patient. Vitals steady. Low vasopressor need. Labs monitored.
hours
0.22
0.26
0.28
0.3
0.86
0.84
0.82
0.8
0.18
0.2
0.22
0.24
0.3
0.34
0.36
0.38
0
stable trajectory
0
ICU-0002
Rising oxygen requirement. Lactate mildly up. Rapid review and protocol started.
hours
0.34
0.4
0.44
0.46
0.78
0.74
0.72
0.7
0.22
0.24
0.26
0.28
0.34
0.38
0.4
0.42
0
recoverable
0
ICU-0003
Worsening hypotension. Lactate rising. Escalation delayed due to handoff.
hours
0.48
0.6
0.72
0.84
0.7
0.6
0.46
0.34
0.28
0.44
0.66
0.84
0.42
0.58
0.74
0.88
2
shock formation
1
ICU-0004
Sepsis suspected. Antibiotics delayed. Imaging backlog. Pressors increasing.
hours
0.52
0.64
0.76
0.88
0.66
0.54
0.4
0.28
0.32
0.54
0.74
0.88
0.5
0.66
0.8
0.9
2
cross t1-t2
1
ICU-0005
Respiratory failure worsens. Vent settings escalate. Renal function drops. Team coordination tight.
hours
0.56
0.7
0.82
0.92
0.62
0.5
0.34
0.22
0.36
0.6
0.82
0.92
0.56
0.72
0.88
0.94
1
early crossing
1
ICU-0006
Early sepsis bundle triggered. Fluids and pressors adjusted fast. Buffer restored.
hours
0.44
0.52
0.5
0.48
0.72
0.76
0.78
0.8
0.3
0.26
0.22
0.2
0.46
0.44
0.4
0.38
0
intervention holds
0
ICU-0007
Monitoring gap overnight. Rising lactate missed. Delayed escalation. Coupling tightens across teams.
hours
0.5
0.62
0.78
0.9
0.68
0.56
0.38
0.26
0.28
0.5
0.76
0.9
0.48
0.64
0.82
0.92
1
overnight drift
1
ICU-0008
Deterioration detected at t1. Senior review at t2. Source control planned. Coupling reduces.
hours
0.46
0.58
0.6
0.56
0.66
0.62
0.68
0.7
0.4
0.34
0.28
0.24
0.52
0.5
0.46
0.42
0
recovery path
0
ICU-0009
Refractory shock develops. Escalation delayed. Multi-organ support tightens dependency loops.
hours
0.58
0.72
0.86
0.94
0.6
0.48
0.32
0.2
0.34
0.62
0.86
0.94
0.58
0.74
0.9
0.96
2
lock-in timing visible
1

What this repo does

This dataset tests whether a model can detect an ICU deterioration cascade forming over time by reading a short ordered window of signals and predicting whether shock lock-in occurs by the final step.

Core quad

pressure
buffer
lag
coupling

Prediction target

label_cascade_state

Row structure

One row represents one short time window (t0 to t3) for an ICU patient under deterioration pressure. It includes time-series values for physiologic pressure, reserve buffer, response lag, and care-pathway coupling tightness. The label marks whether cascade lock-in is reached by t3.

Files

data/train.csv
data/tester.csv
scorer.py

Evaluation

Run predictions on tester.csv.
Score with scorer.py.

License

MIT

Structural Note

This dataset identifies a measurable coupling pattern associated with systemic instability. The sample demonstrates the geometry. Production-scale data determines operational exposure.

What Production Deployment Enables

• 50K–1M row datasets calibrated to real operational patterns • Pair, triadic, and quad coupling analysis • Real-time coherence monitoring • Early warning before cascade events • Collapse surface and recovery window modeling • Integration and implementation support

Small samples reveal structure. Scale reveals consequence.

Enterprise & Research Collaboration

Clarus develops production-scale coherence monitoring infrastructure for critical systems across healthcare, finance, infrastructure, and regulatory domains.

For dataset expansion, custom coherence scorers, or deployment architecture: team@clarusinvariant.com

Instability is detectable. Governance determines whether it propagates.

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