How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Huddar

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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[@pranaviblah229]

Tqsm Sir was useful 3 hrs bfore my exam

[@MaheshHuddar]

Welcome
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[@ramt2284]

sir am resesrch scholar .. iam researching in depression detection.. can u post the video in detecting deoression.. am little bit confusion in probability also sir

[@divanshkothari2306]

from vit ?

[@anoushkagupta5064]

amazing video

[@MaheshHuddar]

Thank You
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[@snithashetty4091]

why denominator is neglected?

[@MaheshHuddar]

Denominator is same for all classes
Hence the denominator is not included in the calculation

[@ENGCYTGoutham]

if we included it by using low of total probability then there is no change in answer right sir
@@MaheshHuddar