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Mining consequence events in temporal health data

Chen, Jie; Jin, Huidong (Warren); He, Hongxing; McAullay, Damien; O'Keefe, Christine; Sparks, Ross; Kelman, Chris

Description

It is useful, sometimes crucial in medicine domain, to discover a temporal association or causal relationship among events. Such a mining problem is often challenging because 'consequence events' may not reliably occur after each trigger event of interest. This makes it difficult to apply existing temporal data mining techniques directly to real world problems. In this paper, we formalise the problem of mining consequence events of newly-introduced interventions. We combine the...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
URI: http://hdl.handle.net/1885/57307
Source: Intelligent Data Analysis
DOI: 10.3233/IDA-2010-0419

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