A Machine Learning-Derived Risk Score Based on Dietary Nutrient Intake for Early Detection and Prognostic Prediction of Preserved Ratio Impaired Spirometry.

Abstract excerpt

Background: Preserved Ratio Impaired Spirometry (PRISm) is a subclinical pulmonary phenotype associated with increased risk of chronic obstructive pulmonary disease (COPD), cardiovascular disease, and all-cause mortality. Early identification and stratified prevention of PRISm remain a clinical challenge. Methods: Using data from the US National Health and Nutrition Examination Survey (NHANES) 2007-2012, we...

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