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Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease
Joint Authors
Sekar, Booma Devi
Dong, Mingchui
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
An intelligent cardiovascular disease (CVD) diagnosis system using hemodynamic parameters (HDPs) derived from sphygmogram (SPG) signal is presented to support the emerging patient-centric healthcare models.
To replicate clinical approach of diagnosis through a staged decision process, the Bayesian inference nets (BIN) are adapted.
New approaches to construct a hierarchical multistage BIN using defined function formulas and a method employing fuzzy logic (FL) technology to quantify inference nodes with dynamic values of statistical parameters are proposed.
The suggested methodology is validated by constructing hierarchical Bayesian fuzzy inference nets (HBFIN) to diagnose various heart pathologies from the deduced HDPs.
The preliminary diagnostic results show that the proposed methodology has salient validity and effectiveness in the diagnosis of cardiovascular disease.
American Psychological Association (APA)
Sekar, Booma Devi& Dong, Mingchui. 2014. Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1016259
Modern Language Association (MLA)
Sekar, Booma Devi& Dong, Mingchui. Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1016259
American Medical Association (AMA)
Sekar, Booma Devi& Dong, Mingchui. Function Formula Oriented Construction of Bayesian Inference Nets for Diagnosis of Cardiovascular Disease. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1016259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016259