A risk stratification system to discriminate congestive heart failure (CHF) subjects from healthy subjects is proposed. All the previous research to detect CHF patients using Lempel-Ziv complexity measure had used binary coarsegraining (BLZC). In this work, we show that employing multi-valued coarsegraining Lempel-Ziv complexity (MLZC) improves the performance of classification. This finding is confirmed using receiver operating characteristic (ROC) plots. Compared to BLZC, MLZC with six partitions showed higher diagnostic parameters. The risk stratification system proposed in this paper will be a valuable asset to the clinician in the separation of CHF patients from the healthy group.
|Number of pages||13|
|Journal||Journal of Engineering Science and Technology|
|Publication status||Published - 01-01-2015|
All Science Journal Classification (ASJC) codes