public health issues feature prominently in popular awareness , political debate , and in data mining literature. data mining, the work of discovering patterns in data , has the potential to influence public health in myriad of ways , from personalize , genetic medicine to studies of environment health and epidemiology , and many application in between. classification of new data based on patterns previously observed holds promise for applying specific advances to public health more generally. classification algorithms that take advantage of Bayes'Theorem and prevalence statistics, dubbed naive Bayes classifiers, aim to accomplish this with readily available data