CoolFace
Datasetpublic

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
0likes8downloads
settings

This repository belongs to ClarusC64 on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameclinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.2
visibilitypublic
licencemit
gatedno
ownerClarusC64
Account settings
ClarusC64/clinical-quad-ventilation-stress-buffer-lag-coupling-ventilator-deterioration-v0.2 · CoolFace