CEP4HFP: Complex Event Processing for Heart Failure Prediction.
IEEE Trans Nanobioscience
; 16(8): 708-717, 2017 12.
Article
en En
| MEDLINE
| ID: mdl-29364123
ABSTRACT
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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Modelos Estadísticos
/
Biología Computacional
/
Insuficiencia Cardíaca
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
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Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
IEEE Trans Nanobioscience
Asunto de la revista:
BIOTECNOLOGIA
Año:
2017
Tipo del documento:
Article