How Does Bayesian Probability Handle Uncertainty in Neonatal Disorders?
One of the strengths of Bayesian probability is its ability to handle uncertainty effectively. In neonatal care, initial symptoms can often be ambiguous. Bayesian methods allow for the incorporation of this uncertainty into the model, providing a probabilistic rather than a definitive diagnosis. This is particularly useful in conditions like neonatal jaundice or respiratory distress syndrome (RDS), where early symptoms can be nonspecific.
