2. Following Bayesian Network of Corona-19 is given. (show the steps of derivation too) compute P(corona-true,...

 

Transcribed Image Text:

2. Following Bayesian Network of Corona-19 is given. (show the steps of derivation too) compute P(corona-true, pneumonia =true, cough=true, fever=true). 2 compute P(cough|corona). 3 compute P(pneumonial cough) corona P(corona)=0.1 P(pneumonial corona)=0.7, P(pneumonial-corona)=0.3 pneumonia P(cough pneumonia)=0.7.P(Cough-pneumonia) = 0.1 coush P(fever pneumonia)=0.9,P(fever-pneumonia)=0.2 fever 2. Following Bayesian Network of Corona-19 is given. (show the steps of derivation too) compute P(corona-true, pneumonia =true, cough=true, fever=true). 2 compute P(cough|corona). 3 compute P(pneumonial cough) corona P(corona)=0.1 P(pneumonial corona)=0.7, P(pneumonial-corona)=0.3 pneumonia P(cough pneumonia)=0.7.P(Cough-pneumonia) = 0.1 coush P(fever pneumonia)=0.9,P(fever-pneumonia)=0.2 fever