Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning

Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning

Abstract Waist-to-hip ratio (WHR) is an essential predictor of cardiometabolic diseases, but traditional tape-based WHR measurements in children and adolescents can cause discomfort due to direct contact and are prone to measurer variation. This study aimed to develop a non-invasive, precise, and co...

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Bibliographic Details
Main Authors: Jun Byung Park, Jinjoo Choi, Jae Yoon Na, Seung Hyun Kim, Hyun-Kyung Park, Seung Yang, Sung Ho Cho
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Waist-hip ratio
Body mass index
Obesity, abdominal
Radar
Metabolic syndrome
Pediatric obesity
Online Access:https://doi.org/10.1038/s41598-025-88098-x
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