Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data
Diagnosing urinary tract infections (UTIs) in children in the emergency department (ED) is challenging due to the variable clinical presentations and difficulties in obtaining a urine sample free from contamination.
Keywords:
Bayesian network; Causal model; Clinical decision support; DAG; Urinary tract infection
Abstract:
Diagnosing urinary tract infections (UTIs) in children in the emergency department (ED) is challenging due to the variable clinical presentations and difficulties in obtaining a urine sample free from contamination.