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ClarusC64/clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.2

What this repo does This dataset evaluates whether machine learning models can detect ventilator deterioration cascade transitions using both system state and system trajectory. Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone. Clarus v0.2 datasets introduce a trajectory signal so models must determine not only where the system is but where it is moving inside state space. This benchmark therefore tests whether models can read… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.2.

sourceHugging Facemitupdated 7mo agoView on Hugging Face
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7973d5f7mo ago

Update README.md

ClarusC64
9dafe087mo ago

Create scorer.py

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44975ce7mo ago

Create data/tester.csv

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ed0cda87mo ago

Create data/train.csv

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ff2492c7mo ago

initial commit

ClarusC64