foodallergy3 {bnRep} | R Documentation |
foodallergy Bayesian Networks
Description
Prevalence of self-reported food allergy in Tunisia: General trends and probabilistic modeling.
Format
A discrete Bayesian network to to estimate conditional probabilities of each food allergy when other food allergies are present (children only). Probabilities were given within the referenced paper. The vertices are:
- Cereals
(T, F);
- Eggs
(T, F);
- Fruits
(T, F);
- Milk
(T, F);
- Nuts
(T, F);
- Peanuts
(T, F);
- Seafood
(T, F);
- Veg_Leg
(T, F);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Belmabrouk, S., Abdelhedi, R., Bougacha, F., Bouzid, F., Gargouri, H., Ayadi, I., ... & Rebai, A. (2023). Prevalence of self-reported food allergy in Tunisia: General trends and probabilistic modeling. World Allergy Organization Journal, 16(9), 100813.
[Package bnRep version 0.0.1 Index]