Key result
A remote health monitoring platform using data mining via the CART method achieved 96.39% accuracy and 100.00% precision in detecting heart failure on public databases of signals.
Why the study?
Does a remote health monitoring platform using data mining on HRV features accurately detect and assess heart failure severity?
Population
Public databases of signals for heart failure
Design
Other
Authors
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Supports remote HF monitoring development; leaves open prospective validation before clinical adoption.
Does a remote health monitoring platform using data mining on HRV features accurately detect and assess heart failure severity?
A remote health monitoring platform using data mining on HRV features demonstrated high accuracy in detecting heart failure and assessing its severity using public databases.
Pecchia et al. (2010) conducted a letter in Heart failure. Remote health monitoring platform with data mining via CART method was evaluated on Accuracy in detecting heart failure. A remote health monitoring platform using data mining via the CART method achieved 96.39% accuracy and 100.00% precision in detecting heart failure on public databases of signals.
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