Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability

► We propose a feature selector UCMIFS for congestive heart failure (CHF) recognition. ► UCMIFS is based on the mutual information conditioned by the first-selected feature. ► The performance of UCMIFS is superior to the other MI-based feature selectors. ► UCMIFS selects only 15 features to achieve a high recognition rate of 97.59%.