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Frontiers of Information Technology & Electronic Engineering >> 2015, Volume 16, Issue 6 doi: 10.1631/FITEE.1400295
Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics
Sant Longowal Institute of Engineering and Technology, Deemed University, Punjab 148106, India
Abstract
Keywords
Blood pressure (BP) ; Principal component analysis (PCA) ; Forward stepwise regression ; Artificial neural network (ANN) ; Adaptive neuro-fuzzy inference system (ANFIS) ; Least squares support vector machine (LS-SVM)
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