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estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
based optimization » whale optimization (Expand Search)
base estimation » based estimation (Expand Search), pose estimation (Expand Search), age estimation (Expand Search)
dietary data » history data (Expand Search)
binary wave » binary image (Expand Search)
wave based » made based (Expand Search), game based (Expand Search), rate based (Expand Search)
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Supplementary Material for: Development of an explainable machine learning model for cardiovascular-kidney-metabolic syndrome prediction based on dietary antioxidants in a national...
Published 2025“…We aimed to develop and interpret a machine learning model to predict advanced CKM stages based on dietary antioxidant profiles. Methods: Data were analyzed from 10,257 adults aged >30 years in the NHANES 2007–2010 and 2017–2018 cycles. …”
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Supporting data for “Case Finding of Pre-Diabetes and Evaluation of the Association of Dietary Patterns with Glycaemic Levels in Chinese People with Pre-Diabetes in Primary Care"
Published 2024“…The LR model was converted to an additive risk-scoring algorithm for easy clinical application. The sensitivities of the models were 0.69 (ML), 0.72 (LR) and 0.77 (LR-risk-scoring algorithm) in this (external) primary care population. …”
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Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology
Published 2020“…Significantly compounding the challenges, the recalls for episodically consumed dietary components also include exact zeros. The problem of estimating the density of the latent long-time intakes from their observed measurement error contaminated proxies is then a problem of deconvolution of densities with zero-inflated data. …”
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Data_Sheet_1_Lifestyle and chronic kidney disease: A machine learning modeling study.docx
Published 2022“…We harnessed the light gradient boosting machine algorithm to rank the importance of 37 lifestyle factors (such as dietary patterns, physical activity (PA), sleep, psychological health, smoking, and alcohol) on the risk of CKD. …”