Obesity prediction: Novel machine learning insights into waist circumference accuracy.

Journal: Diabetes & metabolic syndrome
PMID: 39243515

Abstract

AIMS: This study aims to enhance the precision of obesity risk assessments by improving the accuracy of waist circumference predictions using machine learning techniques.

Authors

  • Carl Harris
    Department of Psychological and Brain Science, Dartmouth College, Hanover, NH, 03755, USA.
  • Daniel Olshvang
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
  • Rama Chellappa
  • Prasanna Santhanam
    Division of Endocrinology, Diabetes, & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Keywords

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