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Representing Association Classification Rules Mined from Health Data

Chen, Jie; He, Hongxing; Jin, Huidong; McAullay, Damien; Williams, Graham; Sparks, Ross; Kelman, Chris


An association classification algorithm has been developed to explore adverse drug reactions in a large medical transaction dataset with unbalanced classes. Rules discovered can be used to alert medical practitioners when prescribing drugs, to certain categories of patients, to potential adverse effects. We assess the rules using survival charts and propose two kinds of probability trees to present them. Both of them represent the risk of given adverse drug reaction for certain categories of...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Book chapter


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