Obesity prediction: Novel machine learning insights into waist circumference accuracy-Reference-Cited by-同舟云学术

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Obesity prediction: Novel machine learning insights into waist circumference accuracy

Published:2024-08 Issue:8 Volume:18 Page:103113
ISSN:1871-4021
Container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews
language:en
Short-container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Author:

Harris Carl,Olshvang Daniel,Chellappa Rama,Santhanam Prasanna^ORCID

Funder

National Institute on Minority Health and Health Disparities

National Heart, Lung, and Blood Institute

National Institute of Nursing Research

National Science Foundation

Office of Research on Women's Health

Centers for Disease Control and Prevention

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Elsevier BV

Reference38 articles.

1. Obesity epidemiology worldwide;Arroyo-Johnson;Gastroenterol Clin,2016

2. Obesity: global epidemiology and pathogenesis;Blüher;Nat Rev Endocrinol,2019

3. The epidemiology of obesity;Chooi;Metabolism,2019

4. Sagittal abdominal diameter and waist circumference appear to be equally good as identifiers of cardiometabolic risk;Møller;Nutr Metabol Cardiovasc Dis,2021

5. Waist circumference a good indicator of future risk for type 2 diabetes and cardiovascular disease;Siren;BMC Publ Health,2012

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