Fat mass prediction equations and reference ranges for Saudi Arabian Children aged 8–12 years using machine technique method

The number of children with obesity has increased in Saudi Arabia, which is a significant public health concern. Early diagnosis of childhood obesity and screening of the prevalence is needed using a simple in situ method. This study aims to generate statistical equations to predict body fat percent...

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Bibliographic Details
Published in:	PeerJ (San Francisco, CA) Vol. 9; p. e10734
Main Authors:	Alkutbe, Rabab B., Alruban, Abdulrahman, Alturki, Hmidan, Sattar, Anas, Al-Hazzaa, Hazzaa, Rees, Gail
Format:	Journal Article
Language:	English
Published:	United States PeerJ. Ltd 23.02.2021 PeerJ, Inc PeerJ Inc
Subjects:	Adipose tissue Adults Age Algorithms Body composition Body fat Body mass index Children Children & youth Data Mining and Machine Learning Electrical impedance Epidemiology Girls Health aspects Laboratories Learning algorithms Machine learning Medical research Methods Nutrition Obesity Obesity in children Overweight Pediatrics Prediction models Predictive equation Private schools Public Health Regression analysis Statistical methods Variables Middle East Saudi Arabia Riyadh Saudi Arabia Obesity Children Body fat Predictive equation Machine learning
ISSN:	2167-8359, 2167-8359
Online Access:	Get full text
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