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Classification tree for risk assessment in patients suffering from congestive heart failure via long-term hear trate variability
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Melillo, Paolo, De Luca, Nicola, Bracale, Marcello and Pecchia, Leandro (2013) Classification tree for risk assessment in patients suffering from congestive heart failure via long-term hear trate variability. IEEE Journal of Biomedical and Health Informatics, Volume 17 (Number 3). pp. 727-733. doi:10.1109/JBHI.2013.2244902 ISSN 2168-2194.
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Official URL: http://dx.doi.org/10.1109/JBHI.2013.2244902
Abstract
This study aims to develop an automatic classifier for risk assessment in patients suffering from congestive heart failure (CHF). The proposed classifier separates lower risk patients from higher risk ones, using standard long-term heart rate variability (HRV) measures. Patients are labeled as lower or higher risk according to the New York Heart Association classification (NYHA). A retrospective analysis on two public Holter databases was performed, analyzing the data of 12 patients suffering from mild CHF (NYHA I and II), labeled as lower risk, and 32 suffering from severe CHF (NYHA III and IV), labeled as higher risk. Only patients with a fraction of total heartbeats intervals (RR) classified as normal-to-normal (NN) intervals (NN/RR) higher than 80% were selected as eligible in order to have a satisfactory signal quality. Classification and regression tree (CART) was employed to develop the classifiers. A total of 30 higher risk and 11 lower risk patients were included in the analysis. The proposed classification trees achieved a sensitivity and a specificity rate of 93.3% and 63.6%, respectively, in identifying higher risk patients. Finally, the rules obtained by CART are comprehensible and consistent with the consensus showed by previous studies that depressed HRV is a useful tool for risk assessment in patients suffering from CHF.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | IEEE Journal of Biomedical and Health Informatics | ||||
Publisher: | IEEE | ||||
ISSN: | 2168-2194 | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Volume 17 | ||||
Number: | Number 3 | ||||
Page Range: | pp. 727-733 | ||||
DOI: | 10.1109/JBHI.2013.2244902 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) |
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