ClarusC64/clinical-quad-anticoag-antiplatelet-renal-fall-bleed-v0.1
What this repo does This dataset models major bleeding risk under anticoagulation. It predicts when the interaction between anticoagulant intensity, antiplatelet coadministration, reduced renal function, and elevated fall risk creates a high probability of a bleeding event. Core quad anticoag_intensity_index antiplatelet_coadmin_index renal_function_index fall_risk_index Prediction target label_bleed_event Row structure Each row represents a patient bleeding risk snapshot during active… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-anticoag-antiplatelet-renal-fall-bleed-v0.1.
What this repo does
This dataset models major bleeding risk under anticoagulation. It predicts when the interaction between anticoagulant intensity, antiplatelet coadministration, reduced renal function, and elevated fall risk creates a high probability of a bleeding event.
Core quad
anticoagintensityindex antiplateletcoadminindex renalfunctionindex fallriskindex
Prediction target
labelbleedevent
Row structure
Each row represents a patient bleeding risk snapshot during active therapy. The model predicts whether the coupled medication and vulnerability conditions imply a bleed event within the next monitoring 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.