covid1 {bnRep} | R Documentation |
covid Bayesian Networks
Description
Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.
Format
A discrete Bayesian network to classify the severity of covid-19 given different symptoms (Naive Bayes). The probabilities were available from a repository. The vertices are:
- CovidSeverity
(1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6);
- Cough
(1. 0, 2. 1);
- Diarrhea
(1. 0, 2. 1);
- Fatigue
(1. 0, 2. 1);
- Fever
(1. 0, 2. 1);
- Headache
(1. 0, 2. 1);
- LossOfSmell
(1. 0, 2. 1);
- LossOfTaste
(1. 0, 2. 1);
- MuscleSore
(1. 0, 2. 1);
- RunnyNose
(1. 0, 2. 1);
- Sob
(1. 0, 2. 1);
- SoreThroat
(1. 0, 2. 1);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Demirbaga, U., Kaur, N., & Aujla, G. S. (2024). Uncovering hidden and complex relations of pandemic dynamics using an AI driven system. Scientific Reports, 14(1), 15433.
[Package bnRep version 0.0.1 Index]