aspergillus {bnRep} | R Documentation |
aspergillus Bayesian Network
Description
Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi.
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);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
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.