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Background Association 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...
Secondary use of biomedical data has gained much attention recently to facilitate rapid knowledge discovery in biomedicine. Association Rule Mining (ARM) has been a popular technique for biomedical researchers to perform exploratory data analysis and discover potential relationships among variables in biomedical datasets. However, ARM of a high-dimensional biomedical dataset may produce a large number...
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