Yunho Sung

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Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010–2023) - Scientific Reports

Jun 23, 2024 | nature.com | Jun-Hyun Bae |Xinxing Li |Soyoung Ahn |Ji-won Seo |Yunho Sung

AbstractSarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationship between physical fitness factors and SO are lacking. This study aimed to develop a predictive model for SO in older adults by focusing on physical fitness factors.

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