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Implantable cardioverter defibrillators can generate numerous alerts. Automatically classifying these alerts according to their severity hinges on the CHA2DS2VASc score. It requires some reasoning capabilities for interpreting the patient's data. We compared two approaches for implementing the reasoning module. One is based on the Drools engine, and the(More)
A large number of rule interestingness measures have been used as objectives in multi-objective classification rule mining algorithms. Aggregation or Pareto dominance are commonly used to deal with these multiple objectives. This paper compares these approaches on a partial classification problem over discrete and imbalanced data. After performing a(More)
1 Context Classification rule mining aims to extract, from known data, rules predicting a chosen fact – called class, which can be for example cardiovascular risk in a medical context. The following rule is an example of what can be extracted: diabetes and age > 70 → cardiovascular risk Training data is composed of observations (sells, credit approvals,(More)
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