LOGISTIC AND PROBIT REGRESSION MODELING TO PREDICT THE OPPORTUNITIES OF DIABETES IN PROSPECTIVE ATHLETES

Diabetes is among the most prevalent chronic diseases globally, posing significant health risks to individuals. The identification of individuals at risk of developing these conditions is of paramount importance, particularly in high-stress and physically demanding activities such as athletic traini...

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Библиографические подробности

Главные авторы:	Danang Ariyanto, A'yunin Sofro, A’idah Nur Hanifah, Junaidi Budi Prihanto, Dimas Avian Maulana, Riska Wahyu Romadhonia
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Universitas Pattimura 2024-07-01
Серии:	Barekeng
Предметы:	anthropometric athletic diabetes logistic regression probit regression socio-demographic
Online-ссылка:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/10452
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