Automatic Prediction of Cardiovascular and Cerebrovascular Events Using Heart Rate Variability Analysis
BACKGROUND: There is consensus that Heart Rate Variability is associated with the risk of vascular events. However, Heart Rate Variability predictive value for vascular events is not completely clear. The aim of this study is to develop novel predictive models based on data-mining algorithms to provide an automatic risk stratification tool for hypertensive patients. METHODS: A database of 139 Holter recordings with clinical data of hypertensive patients followed up for at least 12 months were co
OpenAlex
4151d ago
Healthcare