Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example.

Journal: Nutrition journal
PMID: 35689265

Abstract

BACKGROUND: 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.

Authors

  • Chaoran Ma
    Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Qipin Chen
    Department of Mathematics, The Pennsylvania State University, University Park, State College, PA, USA.
  • Diane C Mitchell
    Department of Nutritional Sciences, The Pennsylvania State University, University Park, State College, PA, USA.
  • Muzi Na
    Department of Nutritional Sciences, The Pennsylvania State University, University Park, State College, PA, USA.
  • Katherine L Tucker
    Department of Biomedical & Nutritional Sciences, The University of Massachusetts at Lowell, Lowell, MA, USA.
  • Xiang Gao
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.

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