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

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, Soo See, Cheah, Whye Lian, Kok, Luong Goh, Chang, Robin Yee Hui, Kwan, Yong Sim, Chin, Kim On
Format: Article
Language:English
English
Published: Hindawi Publishing Corporation 2021
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:https://eprints.ums.edu.my/id/eprint/32830/1/A%20Multilayer%20Perceptron%20Neural%20Network%20Model%20to%20Classify%20Hypertension%20in%20Adolescents%20Using%20Anthropometric%20Measurements.pdf
https://eprints.ums.edu.my/id/eprint/32830/2/A%20Multilayer%20Perceptron%20Neural%20Network%20Model%20to%20Classify%20Hypertension%20in%20Adolescents%20Using%20Anthropometric%20Measurements1.pdf

Internet

https://eprints.ums.edu.my/id/eprint/32830/1/A%20Multilayer%20Perceptron%20Neural%20Network%20Model%20to%20Classify%20Hypertension%20in%20Adolescents%20Using%20Anthropometric%20Measurements.pdf
https://eprints.ums.edu.my/id/eprint/32830/2/A%20Multilayer%20Perceptron%20Neural%20Network%20Model%20to%20Classify%20Hypertension%20in%20Adolescents%20Using%20Anthropometric%20Measurements1.pdf

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