| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10345618 | Computer Methods and Programs in Biomedicine | 2012 | 11 Pages |
Abstract
⺠We propose a feature selector UCMIFS for congestive heart failure (CHF) recognition. ⺠UCMIFS is based on the mutual information conditioned by the first-selected feature. ⺠The performance of UCMIFS is superior to the other MI-based feature selectors. ⺠UCMIFS selects only 15 features to achieve a high recognition rate of 97.59%.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Sung-Nien Yu, Ming-Yuan Lee,