Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine-Reference-Cited by-同舟云学术

Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine

Published:2024-01 Issue:1 Volume:34 Page:126-135
ISSN:0939-4753
Container-title:Nutrition, Metabolism and Cardiovascular Diseases
language:en
Short-container-title:Nutrition, Metabolism and Cardiovascular Diseases

Author:

Mohseni-Takalloo Sahar,Mozaffari-Khosravi Hassan,Mohseni Hadis^ORCID,Mirzaei Masoud,Hosseinzadeh Mahdieh

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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4. Mortality attributable to diabetes in 20–79 years old adults, 2019 estimates: results from the international diabetes federation diabetes atlas;Saeedi;Diabetes Res Clin Pract,2020

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