Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11012517 | Expert Systems with Applications | 2019 | 32 Pages |
Abstract
Results indicated that the mutual information discretization outperformed the traditional discretization methods in terms of how the discretization scheme can support the extraction of RUARs with a better quantity and quality measurements for further analysis purpose in medical point of view. Moreover, the proposed method had a relatively higher number of RUARs. The knowledge of unusual rule patterns from rare association rules might provide potential new and unusual insights for medical pratitioners and increase the awareness of stroke examination results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chandrawati Putri Wulandari, Ou-Yang Chao, Wang Han-Cheng,