How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Hudda
Consider a medical diagnosis problem in which there are two alternative hypotheses:
(1) that the patient has a particular form of cancer.
(2) that the patient does not.
The available data is from a particular laboratory test with two possible outcomes: + (positive) and − (negative).
The test returns a correct positive result in only 98% of the cases in which the disease is actually present, and a correct negative result in only 97% of the cases in which the disease is not present.
Furthermore, we know that 0.008 of the entire population has cancer.
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