Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
clinical-crisis-cross-stream-coherence-breakpoint-detection-v0.1 – Dataset by ClarusC64 | AlphaNeural AI
You can deploy this model and start earning money today!
ClarusC64
/
clinical-crisis-cross-stream-coherence-breakpoint-detection-v0.1
like
0
text-classification
en
mit
n<1K
csv
text
datasets
pandas
polars
mlcroissant
us
clarusc64
clinical
crisis
sepsis
delirium
cardiac-arrest
coherence
breakpoint
nursing-notes
Views
No views yet
Model card
Files and Versions
Community
API
What this dataset tests
Whether a model can detect the earliest cross-stream coherence breakin the 48 to 72 hours before a clinical crisis. It is not outcome prediction.It is divergence detection. Outputs
breakpoint_time_hr
coherence_drop_score_0_100
first_divergence_pair
Divergence pairs
vitals_vs_labs
vitals_vs_narrative
labs_vs_narrative
meds_response_mismatch
Typical failures
selecting the last alarm instead of the first divergence
ignoring medication-response… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/clinical-crisis-cross-stream-coherence-breakpoint-detection-v0.1
.
