Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource

@article{Abeysinghe2018QueryconstraintbasedMO,
  title={Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource},
  author={Rashmie Abeysinghe and Licong Cui},
  journal={BMC Medical Informatics and Decision Making},
  year={2018},
  volume={18}
}
BackgroundAssociation Rule Mining (ARM) has been widely used by biomedical researchers to perform exploratory data analysis and uncover potential relationships among variables in biomedical datasets. However, when biomedical datasets are high-dimensional, performing ARM on such datasets will yield a large number of rules, many of which may be uninteresting. Especially for imbalanced datasets, performing ARM directly would result in uninteresting rules that are dominated by certain variables… 

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