1. Bayes Network. Incidenees of diseases A and B {19A, D3) depend on the exposure {E}. Disease A is additionally inuenced by risk factors [R]. Both diseases lead to symptoms {5). Results of the test for disease A (TA) are affected also by disease 13. Positive test 1will be denoted as TA = 11 negative as TA = U. The Bayes Network and needed conditional probabilities are shown in Figure. {a} What is the probability of disease A (DA = 1]1 if disease B is not present (D3 = 0), but symptoms are present (5' = 1) {b} What is the probability of exposure {E = 1): if symptoms are present (5' = 1) and test is positive (T3 = 1)