tubercolosis

A decision support system for tuberculosis prevalence in South Africa.

ReverseTree

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

tubercolosis function

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:<dl>
<dt>Location</dt>
<dd>(Nkangala, Gert Sibande, Ehlanzeni);</dd><dt>Gender</dt>
<dd>(Male, Female);</dd><dt>AgeGroup</dt>
<dd>(0 to 35, 35 to 65, More than 65);</dd><dt>Tubercolosis</dt>
<dd>(Pulmonary, ExtraPulmonary);</dd><dt>TreatmentOutcome</dt>
<dd>(Alive, Died);</dd>
</dl>

Format

tubercolosis Bayesian Network — tubercolosis

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:<dl>
<dt>Location</dt>
<dd>(Nkangala, Gert Sibande, Ehlanzeni);</dd>

<dt>Gender</dt>
<dd>(Male, Female);</dd>

<dt>AgeGroup</dt>
<dd>(0 to 35, 35 to 65, More than 65);</dd>

<dt>Tubercolosis</dt>
<dd>(Pulmonary, ExtraPulmonary);</dd>

<dt>TreatmentOutcome</dt>
<dd>(Alive, Died);</dd>


</dl>

tubercolosis: tubercolosis Bayesian Network

Description

Arguments

Value

Format

References