A patient enters the hospital with severe abdominal pains. Based on past experience, Doctor Craig believes there is a 30

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A patient enters the hospital with severe abdominal pains.
Based on past experience, Doctor Craig believes there is a 30%
chance that the patient has appendicitis and a 70% chance that
the patient has nonspecific abdominal pains. Dr. Craig may
operate on the patient now or wait 12 hours to gain a more
accurate diagnosis. In 12 hours, Dr. Craig will surely know
whether the patient has appendicitis. The problem is that in
the meantime, the patient’s appendix may perforate (if he has
appendicitis), thereby making the operation much more
dangerous. Again based on past experience, Dr. Craig believes
that if he waits 12 hours, there is a 10% chance that the
patient will end up with a perforated appendix, a 20% chance
the patient will end up with “normal” appendicitis, and a 70%
chance that the patient will end up with nonspecific abdominal
pain. From past experience, Dr. Craig assesses the
probabilities shown in Table of the patient dying. Assume that
Dr. Craig’s goal is to maximize the probability that the
patient will survive. Use a decision tree to help Dr. Craig
make the right decision i need a desicion tree for this
qoestion