ClarusC64/clinical-icu-demand-staff-bed-diagnostics-quad-coherence-risk-v0.1
What this repo is for This dataset tests whether a model can detect quad coupling coherence risk in hospital critical care flow. It measures alignment between four signals patient acuity and ICU demand staffing coverage available ICU beds diagnostic turnaround time You label each case coherent when the four signals align and escalation completes incoherent when any node drifts enough to block escalation or trigger system strain What it predicts ICU overflow events ED boarding spikes delayed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-icu-demand-staff-bed-diagnostics-quad-coherence-risk-v0.1.
What this repo is for
This dataset tests whether a model can detect quad coupling coherence risk in hospital critical care flow.
It measures alignment between four signals patient acuity and ICU demand staffing coverage available ICU beds diagnostic turnaround time
You label each case coherent when the four signals align and escalation completes incoherent when any node drifts enough to block escalation or trigger system strain
What it predicts ICU overflow events ED boarding spikes delayed escalation windows theatre knock-on cancellations
How you use it early warning dashboards capacity planning under surge post-incident analysis of why escalation failed scenario testing for staffing or diagnostics changes
Example failures beds available but staffing short so escalation stalls beds and diagnostics drift together causing overflow diagnostics late even with beds and staff, delaying escalation decisions