Can an automated machine-learning algorithm incorporating Poincaré analysis accurately quantify the severity of opioid-induced ataxic breathing?
A machine-learning algorithm incorporating Poincaré analysis can feasibly quantify opioid-induced ataxic breathing severity, potentially aiding in the identification of opioid-induced respiratory depression.
We concluded it may be feasible for a machine-learning algorithm to quantify ataxic breathing severity in a manner consistent with a panel of domain experts. This methodology may be helpful in conjunction with traditional measures to identify patients experiencing OIRD.
Ermer et al. (Tue,) studied this question.