Real event detection and the treatment of congestive heart failure: an e fficient technique to help cardiologists to make crucial decisions
P. Allegrini, R. Balocchi, S. Chillemi, P. Grigolini, P. Hamilton, R., Maestri, L. Palatella, G. Raffaelli

TL;DR
This paper introduces an entropic analysis method for time series data to identify correlations between heartbeat long-range memory and mortality risk in congestive heart failure patients, aiding cardiologists in decision-making.
Contribution
The study presents a novel entropic analysis technique linking heartbeat long-range memory to mortality risk, enhancing clinical assessment tools.
Findings
Heartbeat long-range memory correlates with mortality risk.
Entropic analysis effectively identifies critical health indicators.
Method improves prediction accuracy for patient outcomes.
Abstract
Using a method of entropic analysis of time series we establish the correlation between heartbeat long-range memory and mortality risk in patients with congestive heart failure.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Heart Rate Variability and Autonomic Control · Time Series Analysis and Forecasting
