Question
Consider the problem of predicting a lung disease. Assume that a Pulmonologist has constructed the following bayesian network, where: A = Family History = {Yes,
Consider the problem of predicting a lung disease.
Assume that a Pulmonologist has constructed the following bayesian network, where:
A = Family History = {Yes, No}
B = Asbestos Exposure = {Ideal, Pre-High, High, Very High}
C = Smoking = {Yes, No}
D = Asthma = {Yes, No} 2
E = Lung Cancer = {Yes, No}
F = Wheezing = {No, Inhale, Exhale, Both}
G = Breathing Trouble = {No, Slight, High}
H = Chest Pain = {No, Slight, High}
| P(d1|ai,bj,ck) | P(d2|ai,bj,ck) |
| P(e1|ai,bj,ck) | P(e2|ai,bj,ck) |
a1, b1, c1 | 0.25 | 0.75 | a1, b1, c1 | 0.111 | 0.889 |
a1, b1, c2 | 0.111 | 0.889 | a1, b1, c2 | 0.833 | 0.167 |
a1, b2 c1 | 0.1 | 0.9 | a1, b2 c1 | 0.307 | 0.693 |
a1, b2, c2 | 0.833 | 0.167 | a1, b2, c2 | 0.5 | 0.5 |
a1, b3, c1 | 0.285 | 0.715 | a1, b3, c1 | 0.4 | 0.6 |
a1, b3, c2 | 0.307 | 0.693 | a1, b3, c2 | 0.25 | 0.75 |
a1, b4, c1 | 0.454 | 0.546 | a1, b4, c1 | 0.692 | 0.308 |
a1, b4, c2 | 0.5 | 0.5 | a1, b4, c2 | 0.5 | 0.5 |
a2, b1, c1 | 0.571 | 0.429 | a2, b1, c1 | 0.428 | 0.572 |
a2, b1, c2 | 0.4 | 0.6 | a2, b1, c2 | 0.818 | 0.182 |
a2, b2 c1 | 0.5 | 0.5 | a2, b2 c1 | 0.181 | 0.819 |
a2, b2, c2 | 0.25 | 0.75 | a2, b2, c2 | 0.5 | 0.5 |
a2, b3, c1 | 0.875 | 0.125 | a2, b3, c1 | 0.333 | 0.667 |
a2, b3, c2 | 0.692 | 0.308 | a2, b3, c2 | 0.416 | 0.584 |
a2, b4, c1 | 0.181 | 0.819 | a2, b4, c1 | 0.333 | 0.667 |
a2, b4, c2 | 0.5 | 0.5 | a2, b4, c2 | 0.75 | 0.25 |
| P(g1|di,ej) | P(g2|di,ej) | P(g3|di,ej) |
|
| P(h1|di,ej) | P(h2|di,ej) | P(h3|di,ej) |
d1,e1 | 0.15 | 0.45 | 0.4 |
| d1,e1 | 0.307 | 0.076 | 0.617 |
d1,e2 | 0.307 | 0.076 | 0.617 |
| d1,e2 | 0.125 | 0.25 | 0.625 |
d2,e1 | 0.5 | 0.444 | 0.56 |
| d2,e1 | 0.09 | 0.09 | 0.82 |
d2,e2 | 0.125 | 0.25 | 0.625 |
| d2,e2 | 0.571 | 0.142 | 0.287 |
| P(f1|di,ej) | P(f2|di,ej) | P(f3|di,ej) | P(f4|di,ej) |
d1,e1 | 0.055 | 0.055 | 0.5 | 0.39 |
d1,e2 | 0.086 | 0.391 | 0.217 | 0.306 |
d2,e1 | 0.296 | 0.074 | 0.296 | 0.334 |
d2,e2 | 0.15 | 0.2 | 0.4 | 0.25 |
Given the Bayesian Network above, First write the expression to find the joint probability of all random variable. After that for the given evidences, write the expression with factors with marginalization. Note, We just need an expression. Please do not calculate the joint probability.
(a) Write an expression for joint probability when we observe that person is having Slight Breathing Difficulties and having High Chest Pain.
(b) Write an expression for joint probability when we observe that the Person smokes, and we have the family history of the person.
(c) Write an expression for joint probability when we observe that the person has wheezing while inhaling and exhaling both. We also observe that the person has high exposure to Asbestos.
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