Artificial intelligence could measure heart risk

Artificial intelligence techniques could be used to more accurately estimate heart attack risks, Greek researchers have suggested.

Hara Kostakis and colleagues examined data from patients enrolled in the Cardio 2000 study using online analytical processing (OLAP), a system usually used for financial and marketing analysis.

They then developed a model of the risk of developing acute coronary syndromes, based on an analysis of all the patients' characteristics.

This model could be incorporated, they suggest, into a simple programme into which patients' characteristics could be entered to produce a risk score.

The researchers will publish their findings in the January 2009 issue of the International Journal of Knowledge Engineering and Soft Data Paradigms, a new publication.

tom.moberly@haymarket.com

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