Predicting delayed neurological sequelae in patients with carbon monoxide poisoning using machine learning models

Introduction Delayed neurological sequelae is a common complication following carbon monoxide poisoning, which significantly affects the quality of life of patients with the condition. We aimed to develop a machine learning-based prediction model to predict the frequency of delayed neurological sequelae in patients with carbon monoxide poisoning.