ClarusC64/clinical-5node-proced-buf-lag-cpl-procedure-level-cascades-phase2-v0.1

What this repo does

This dataset is a Phase 2 procedure-level cascade index that models how procedure-linked pressure rises, physiologic buffer capacity erodes, response governance lags, and care-pathway coupling tightens across peri-operative and procedure settings, crossing a phase transition into an unrecoverable cascade state.

Core quad

proced buf lag cpl

Prediction target

labelcascadestate

Row structure

One row represents a procedure-level deterioration scenario, linking a procedure context and cascade type to numeric signals for procedure-linked pressure (proced), buffer capacity (buf), response lag (lag), and coupling tightness (cpl) across recovery, ward, radiology, infusion, and theatre pathways, paired with a binary cascade state label marking lock-in conditions.

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.