Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to describe the causal relationships among variables relevant to paediatric urinary tract infections. Probabilities were given within the referenced paper. The vertices are:
(Yes, Unknown);
(LessThan6Mon, Btw6MonAnd2Yr, Btw2And5Yr, Above5Yr);
(EColi, OtherGramNeg, GramPos, None);
(CleanCatch, Catheter, SupraAsp);
(High, Low);
(Above70, Btw15And70, Below50, NotDone)
(Type1, Type2, Type3);
(Yes, No);
(Positive, Negative);
(High, Low);
(Narrow, Broader);
(Low, Moderate);
(Yes, No);
(Positive, Negative);
(High, Low);
(Yes, No);
(Yes, No);
(Many, Moderate, Few, NotSeen);
(Yes, No);
(Above15, Btw8And15, Below8, NotDone);
(No, Narrow, Broader);
(Positive, Negative);
(High, Low);
(Yes, No);
(Reported, Unknown);
(Yes, No);
(Female, Male);
(Abv385, Btw375and385, Btw365and375, Below365);
(Abnormal, Unknown, NotDone);
(High, Moderate, Low);
(High, Moderate, Low, NotDetected);
(Detected, NotDetected);
(Yes, Unknown);
(Yes, Unknown);
(Yes, Unknown);
(Above18, Btw10And18, Below10, NotDone);
Ramsay, J. A., Mascaro, S., Campbell, A. J., Foley, D. A., Mace, A. O., Ingram, P., ... & Wu, Y. (2022). Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data. BMC Medical Research Methodology, 22(1), 218.