A random forest classifier on MIMIC-III blood gas and vital sign features reports 92.5% accuracy for COPD severity, but the severity labels are defined by thresholds on those same features.
Early predictors of admis- sion or prolonged emergency department treatment for children with acute 15 asthma,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
A random forest classifier on MIMIC-III blood gas and vital sign features reports 92.5% accuracy for COPD severity, but the severity labels are defined by thresholds on those same features.