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bnRep (version 0.0.3)

covid1: covid Bayesian Networks

Description

Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.

Arguments

Value

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

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);

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.