Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model

Abstract

AbstractThe importance of extracting knowledge from databases is well established in the domain of medical science. Recent advances in hospital automation have introduced databases that store vast amounts of information on patients’ case histories. Since experiments involving human patients are not always possible, efficient and flexible data mining is expected to facilitate new medical discoveries from available data.KeywordsAssociation RuleAssociation Rule MinerCascade ModelStrong RuleViral MeningitisThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.