Association rule discovery with the train and test approach for heart disease prediction

  • Carlos Ordonez
  • Published 2006 in
    IEEE Transactions on Information Technology in…

Abstract

Association rules represent a promising technique to improve heart disease prediction. Unfortunately, when association rules are applied on a medical data set, they produce an extremely large number of rules. Most of such rules are medically irrelevant and the time required to find them can be impractical. A more important issue is that, in general… (More)
DOI: 10.1109/TITB.2006.864475

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@article{Ordonez2006AssociationRD, title={Association rule discovery with the train and test approach for heart disease prediction}, author={Carlos Ordonez}, journal={IEEE Transactions on Information Technology in Biomedicine}, year={2006}, volume={10}, pages={334-343} }