A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia

A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia

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This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of simple anthropometric and sociodemographic data collected from a cross-sectional research study in Sarawak, Malaysia. Among the 2,461 data collected,...

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Bibliographic Details
Main Authors: Chai, S.S (Author), Chang, Y.H.R (Author), Cheah, W.L (Author), Chin, K.O (Author), Goh, K.L (Author), Sim, K.Y (Author)
Format: Article
Language:English
Published: Hindawi Limited 2021
Series:Computational and Mathematical Methods in Medicine
Subjects:
Anthropometric measurement
Anthropometry
Baye's theorem
Classification (of information)
Malaysia
Multilayer neural networks
Multilayers
Multilayers perceptrons
Network models
Neural network model
Perceptron neural networks
Population statistics
Sarawak
Simple++
Sociodemographic data
Statistical tests
Well testing
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