Sub‐phenotyping Metabolic Disorders Using Body Composition: An Individualized, Nonparametric Approach Utilizing Large Data Sets

201967 citationsJournal Articlebronze Open Access

Authors

Brandon Whitcher · University of Westminster

Olof Dahlqvist Leinhard · Linköping University

Abstract

The adaptive k-nearest neighbors algorithm allowed an individual-centric assessment of each individual's metabolic phenotype moving beyond discrete categorizations of body composition. Within obesity and NAFLD, this may help in identifying which comorbidities a patient may develop and consequently enable optimization of treatment.

Topics & Keywords

Liver Disease Diagnosis and Treatment Cardiovascular Disease and Adiposity Diet and metabolism studies

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Obesity

Volume 27, Issue 7, pp. 1190-1199

DOI: 10.1002/oby.22510

Field-Weighted Citation Impact: 5.42