tubercolosis: tubercolosis Bayesian Network
In bnRep: A Repository of Bayesian Networks from the Academic Literature
tubercolosis R Documentation
tubercolosis Bayesian Network
Description
A decision support system for tuberculosis prevalence in South Africa.
Format
A discrete Bayesian network to educate, inform, and prescribe measures to take when visiting a high prevalence location. The probabilities were given within the referenced paper. The vertices are:
- Location
(Nkangala, Gert Sibande, Ehlanzeni);
- Gender
(Male, Female);
- AgeGroup
(0 to 35, 35 to 65, More than 65);
- Tubercolosis
(Pulmonary, ExtraPulmonary);
- TreatmentOutcome
(Alive, Died);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Razwiedani, M., & Kogeda, O. P. (2021). A Decision Support System for Tuberculosis Prevalence in South Africa. In Computational Science and Its Applications. Springer International Publishing.
bnRep documentation built on April 12, 2025, 1:13 a.m.
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| tubercolosis | R Documentation |
tubercolosis Bayesian Network
Description
A decision support system for tuberculosis prevalence in South Africa.
Format
A discrete Bayesian network to educate, inform, and prescribe measures to take when visiting a high prevalence location. The probabilities were given within the referenced paper. The vertices are:
- Location
(Nkangala, Gert Sibande, Ehlanzeni);
- Gender
(Male, Female);
- AgeGroup
(0 to 35, 35 to 65, More than 65);
- Tubercolosis
(Pulmonary, ExtraPulmonary);
- TreatmentOutcome
(Alive, Died);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Razwiedani, M., & Kogeda, O. P. (2021). A Decision Support System for Tuberculosis Prevalence in South Africa. In Computational Science and Its Applications. Springer International Publishing.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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