covid3: covid Bayesian Networks

In bnRep: A Repository of Bayesian Networks from the Academic Literature

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 (Generic BN). 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.

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