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CEP4HFP: Complex Event Processing for Heart Failure Prediction
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DOI：10.1109/TNB.2017.2769671.png)
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摘要
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This paper presents a novel health analysis approach for heart failure prediction. It is based on the use of complex event processing (CEP) technology, combined with statistical approaches. A CEP engine processes incoming health data by executing threshold-based analysis rules. Instead of having to manually set up thresholds, our novel statistical algorithm automatically computes and updates thresholds according to recorded historical data. Experimental results demonstrate the merits of our approach in terms of speed, precision, and recall.
Keyword:
Complex event processing
heart failure prediction
cardiovascular disease
threshold customization
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