Prediction of BP Reactivity to Talking Using Hybrid Soft Computing Approaches
Joint Authors
Kaur, Gurmanik
Jain, Vijender Kumar
Arora, Ajat Shatru
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
High blood pressure (BP) is associated with an increased risk of cardiovascular diseases.
Therefore, optimal precision in measurement of BP is appropriate in clinical and research studies.
In this work, anthropometric characteristics including age, height, weight, body mass index (BMI), and arm circumference (AC) were used as independent predictor variables for the prediction of BP reactivity to talking.
Principal component analysis (PCA) was fused with artificial neural network (ANN), adaptive neurofuzzy inference system (ANFIS), and least square-support vector machine (LS-SVM) model to remove the multicollinearity effect among anthropometric predictor variables.
The statistical tests in terms of coefficient of determination ( R 2 ), root mean square error (RMSE), and mean absolute percentage error (MAPE) revealed that PCA based LS-SVM (PCA-LS-SVM) model produced a more efficient prediction of BP reactivity as compared to other models.
This assessment presents the importance and advantages posed by PCA fused prediction models for prediction of biological variables.
American Psychological Association (APA)
Kaur, Gurmanik& Arora, Ajat Shatru& Jain, Vijender Kumar. 2014. Prediction of BP Reactivity to Talking Using Hybrid Soft Computing Approaches. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034669
Modern Language Association (MLA)
Kaur, Gurmanik…[et al.]. Prediction of BP Reactivity to Talking Using Hybrid Soft Computing Approaches. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1034669
American Medical Association (AMA)
Kaur, Gurmanik& Arora, Ajat Shatru& Jain, Vijender Kumar. Prediction of BP Reactivity to Talking Using Hybrid Soft Computing Approaches. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034669
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034669