Bayesian modelling of oxygen saturation (SpO2) of cardiac patients using the asymmetric generalized error distribution
摘要
Oxygen saturation (SpO₂) is a crucial parameter for monitoring the health of cardiac patients. It measures the percentage of hemoglobin in the blood that is saturated with Oxygen. The study aims to analyze longitudinal Oxygen saturation (SpO2) levels and identify its determinants among cardiac patients.
MethodsBayesian linear mixed-effects model with the asymmetric generalized error distribution (AGED) was used to analyze the data. The data comprises 323 children diagnosed with cardiac disease. AGED outperforms the others distributions and indicates robust and effective choice to analysis the data.
ResultsThe estimated shape parameters of AGED are significant