Reference no: EM133266207
Modern medical research shows that a person's life style may increase his/her possibility of getting a stroke. For example, if a person has high blood pressure or is a smoker, then he/she is more likely to have a stroke than a person who does not smoke and does not have high blood pressure. Also, even though smoking does not cause high blood pressure, it causes damage to blood vessel walls and is especially bad for those with high blood pressure.
A recent survey is done with a sample size of X individuals. Among them, Xs has had a stroke before. Among the people who has had a stroke before, Ym are male, Ys are smokers and Yb have high blood pressure. And among the Xn who hasn't had stroke (Xs + Xn = X), Zm are male, Zs are smokers and Zb have high blood pressure.
1. Given the above medical and survey facts, if we know that a person is male, smokes heavily but has normal blood pressure, can we use Naive Bayes Classifier to predict whether or not he is more likely to have a stroke? Why?
2. Regardless what you answer is to the above question, you are asked to use Naive Bayes Classifier to predict whether that person (male, smoker and with normal blood pressure) is likely to have a stroke.
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Modern medical research
: Modern medical research shows that a person's life style may increase his/her possibility of getting a stroke.
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