{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:10:50Z","timestamp":1771841450219,"version":"3.50.1"},"reference-count":67,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T00:00:00Z","timestamp":1586217600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Council of Science and Technology (CONACYT, M\u00e9xico).","award":["C\u00e1tedras CONACYT 1591."],"award-info":[{"award-number":["C\u00e1tedras CONACYT 1591."]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Metabolic syndrome is a health condition that increases the risk of heart diseases, diabetes, and stroke. The prognostic variables that identify this syndrome have already been defined by the World Health Organization (WHO), the National Cholesterol Education Program Third Adult Treatment Panel (ATP III) as well as by the International Diabetes Federation. According to these guides, there is some symmetry among anthropometric prognostic variables to classify abdominal obesity in people with metabolic syndrome. However, some appear to be more sensitive than others, nevertheless, these proposed definitions have failed to appropriately classify a specific population or ethnic group. In this work, we used the ATP III criteria as the framework with the purpose to rank the health parameters (clinical and anthropometric measurements, lifestyle data, and blood tests) from a data set of 2942 participants of Mexico City Tlalpan 2020 cohort, applying machine learning algorithms. We aimed to find the most appropriate prognostic variables to classify Mexicans with metabolic syndrome. The criteria of sensitivity, specificity, and balanced accuracy were used for validation. The ATP III using Waist-to-Height-Ratio (WHtR) as an anthropometric index for the diagnosis of abdominal obesity achieved better performance in classification than waist or body mass index. Further work is needed to assess its precision as a classification tool for Metabolic Syndrome in a Mexican population.<\/jats:p>","DOI":"10.3390\/sym12040581","type":"journal-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T03:40:19Z","timestamp":1586403619000},"page":"581","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0090-2701","authenticated-orcid":false,"given":"Guadalupe Obdulia","family":"Guti\u00e9rrez-Esparza","sequence":"first","affiliation":[{"name":"C\u00e1tedras CONACYT Consejo Nacional de Ciencia y Tecnolog\u00eda, Ciudad de M\u00e9xico 08400, Mexico"},{"name":"Instituto Nacional de Cardiolog\u00eda Ignacio Ch\u00e1vez, Ciudad de M\u00e9xico 14080, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9975-5985","authenticated-orcid":false,"given":"Oscar","family":"Infante V\u00e1zquez","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cardiolog\u00eda Ignacio Ch\u00e1vez, Ciudad de M\u00e9xico 14080, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5074-2473","authenticated-orcid":false,"given":"Maite","family":"Vallejo","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cardiolog\u00eda Ignacio Ch\u00e1vez, Ciudad de M\u00e9xico 14080, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3146-9349","authenticated-orcid":false,"given":"Jos\u00e9","family":"Hern\u00e1ndez-Torruco","sequence":"additional","affiliation":[{"name":"Divisi\u00f3n Acad\u00e9mica de Ciencias y Tecnolog\u00edas de la Informaci\u00f3n, Universidad Ju\u00e1rez Aut\u00f3noma de Tabasco, Cunduac\u00e1n, Tabasco 86690, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,7]]},"reference":[{"key":"ref_1","first-page":"105","article-title":"Studien ueber das Hypertonie-Hyperglyka \u201cmie-Hyperurika\u201d miesyndrom","volume":"44","author":"Kylin","year":"1923","journal-title":"Zentralblatt F\u00fcr Inn. 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