ClarusC64/clinical-quad-manifold-gradient-curvature-local-density-exposure-basin-transition-v0.1
What this repo does This dataset models basin boundary detection on a constructed patient manifold. It predicts when the interaction between manifold gradient, curvature, local patient density, and treatment exposure places a patient near a stability boundary where regime transition becomes likely. Core quad manifold_gradient_index curvature_index local_patient_density_index treatment_exposure_index Prediction target label_basin_transition Row structure Each row represents a patient manifold… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-manifold-gradient-curvature-local-density-exposure-basin-transition-v0.1.
What this repo does
This dataset models basin boundary detection on a constructed patient manifold. It predicts when the interaction between manifold gradient, curvature, local patient density, and treatment exposure places a patient near a stability boundary where regime transition becomes likely.
Core quad
manifoldgradientindex curvatureindex localpatientdensityindex treatmentexposureindex
Prediction target
labelbasintransition
Row structure
Each row represents a patient manifold state snapshot derived from multi-feature embedding space. The model predicts whether the coupled geometric indicators and exposure level imply an imminent basin transition within the next assessment window.
Files
data/train.csv data/tester.csv scorer.py
Evaluation
Run predictions on tester.csv Add column prediction 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.