{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21(1)"],"submitter":["Ma C"],"pubmed_abstract":["<h4>Background</h4>Multivariable linear regression (MLR) models were previously used to predict serum pyridoxal 5'-phosphate (PLP) concentration, the active coenzyme form of vitamin B6, but with low predictability. We developed a deep learning algorithm (DLA) to predict serum PLP based on dietary intake, dietary supplements, and other potential predictors.<h4>Methods</h4>This cross-sectional analysis included 3778 participants aged ≥20 years in the National Health and Nutrition Examination Survey (NHANES) 2007-2010, with completed information on studied variables. Dietary intake and supplement use were assessed with two 24-hour dietary recalls. We included potential predictors for serum PLP concentration in the models, including dietary intake and supplement use, sociodemographic variables"],"journal":["Nutrition journal"],"pagination":["38"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9185886"],"repository":["biostudies-literature"],"pubmed_title":["Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example."],"pmcid":["PMC9185886"],"pubmed_authors":["Chen Q","Ma C","Mitchell DC","Na M","Tucker KL","Gao X"],"additional_accession":[]},"is_claimable":false,"name":"Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example.","description":"<h4>Background</h4>Multivariable linear regression (MLR) models were previously used to predict serum pyridoxal 5'-phosphate (PLP) concentration, the active coenzyme form of vitamin B6, but with low predictability. We developed a deep learning algorithm (DLA) to predict serum PLP based on dietary intake, dietary supplements, and other potential predictors.<h4>Methods</h4>This cross-sectional analysis included 3778 participants aged ≥20 years in the National Health and Nutrition Examination Survey (NHANES) 2007-2010, with completed information on studied variables. Dietary intake and supplement use were assessed with two 24-hour dietary recalls. We included potential predictors for serum PLP concentration in the models, including dietary intake and supplement use, sociodemographic variables","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jun","modification":"2025-04-25T20:28:32.327Z","creation":"2025-02-19T03:52:04.537Z"},"accession":"S-EPMC9185886","cross_references":{"pubmed":["35689265"],"doi":["10.1186/s12937-022-00793-x"]}}