Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs
Joint Authors
Kaur, Gurmanik
Jain, Vijender Kumar
Arora, Ajat Shatru
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Crossing the legs at the knees, during BP measurement, is one of the several physiological stimuli that considerably influence the accuracy of BP measurements.
Therefore, it is paramount to develop an appropriate prediction model for interpreting influence of crossed legs on BP.
This research work described the use of principal component analysis- (PCA-) fused forward stepwise regression (FSWR), artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS), and least squares support vector machine (LS-SVM) models for prediction of BP reactivity to crossed legs among the normotensive and hypertensive participants.
The evaluation of the performance of the proposed prediction models using appropriate statistical indices showed that the PCA-based LS-SVM (PCA-LS-SVM) model has the highest prediction accuracy with coefficient of determination (R2) = 93.16%, root mean square error (RMSE) = 0.27, and mean absolute percentage error (MAPE) = 5.71 for SBP prediction in normotensive subjects.
Furthermore, R2 = 96.46%, RMSE = 0.19, and MAPE = 1.76 for SBP prediction and R2 = 95.44%, RMSE = 0.21, and MAPE = 2.78 for DBP prediction in hypertensive subjects using the PCA-LSSVM model.
This assessment presents the importance and advantages posed by hybrid computing models for the prediction of variables in biomedical research studies.
American Psychological Association (APA)
Kaur, Gurmanik& Arora, Ajat Shatru& Jain, Vijender Kumar. 2017. Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1180832
Modern Language Association (MLA)
Kaur, Gurmanik…[et al.]. Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs. Journal of Healthcare Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1180832
American Medical Association (AMA)
Kaur, Gurmanik& Arora, Ajat Shatru& Jain, Vijender Kumar. Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1180832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180832