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bnRep (version 0.0.3)

aspergillus: aspergillus Bayesian Network

Description

Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

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:

CMV

CMV Infection (No, Si);

DT

Diagnostic Time (<16 days, >=16 days);

DTH

Death (No, Si);

GR

Immunosuppresion Groups (Neutropenia, IS-convencional, IS-non-convencional);

ICU

Accessed the ICU (No, Si);

IM

Immunotherapy (No, Si);

MN

Malnutrition (No, Si);

RP

Radiological Pattern (No, Si);

SC

Systemic Corticoids (No, Si);

SOT

Solid Organ Transplant (No, Si);

VP

Viral Pneumonia (No, Si);

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.