R/aspergillus.R

#' aspergillus Bayesian Network
#'
#' Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network modelling the relationship between risk factors and death by Aspergillus. The original dataset was used to learn the Bayesian network. The vertices are:
#' \describe{
#'   \item{CMV}{CMV Infection (No, Si);}
#'   \item{DT}{Diagnostic Time (<16 days, >=16 days);}
#'   \item{DTH}{Death (No, Si);}
#'   \item{GR}{Immunosuppresion Groups (Neutropenia, IS-convencional, IS-non-convencional);}
#'   \item{ICU}{Accessed the ICU (No, Si);}
#'   \item{IM}{Immunotherapy (No, Si);}
#'   \item{MN}{Malnutrition (No, Si);}
#'   \item{RP}{Radiological Pattern (No, Si);}
#'   \item{SC}{Systemic Corticoids (No, Si);}
#'   \item{SOT}{Solid Organ Transplant (No, Si);}
#'   \item{VP}{Viral Pneumonia (No, Si);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Filigheddu, M. T., Leonelli, M., Varando, G., Gómez-Bermejo, M. Á., Ventura-Díaz, S., Gorospe, L., & Fortún, J. (2024). Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi. Computational and Structural Biotechnology Journal, 24, 12-22.
"aspergillus"

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bnRep documentation built on April 12, 2025, 1:13 a.m.