Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveysDownload PDFOpen Website

Published: 01 Jan 2023, Last Modified: 06 Feb 2024J. Am. Medical Informatics Assoc. 2023Readers: Everyone
Abstract: Nonexercise algorithms are cost-effective methods to estimate cardiorespiratory fitness (CRF), but the existing models have limitations in generalizability and predictive power. This study aims to improve the nonexercise algorithms using machine learning (ML) methods and data from US national population surveys.
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