Predictive modeling of lean body mass, appendicular lean mass, and appendicular skeletal muscle mass using machine learning techniques: A comprehensive analysis utilizing NHANES data and the Look AHEAD study

• Daniel Olshvang ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft

  * E-mail: dolshva1@jhu.edu

  Affiliation Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America

  https://orcid.org/0000-0002-5859-3369

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• Carl Harris,

  Roles Writing – review & editing

  Affiliation Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America

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• Rama Chellappa,

  Roles Conceptualization, Writing – review & editing

  Affiliations Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America, Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States of America

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• Prasanna Santhanam

  Roles Data curation, Writing – review & editing

  Affiliation Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America

  https://orcid.org/0000-0003-4822-2705

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