Predicting the 10-year incidence of dyslipidemia based on novel anthropometric indices, using data mining

Abstract Background The aim was to establish a 10-year dyslipidemia incidence model, investigating novel anthropometric indices using exploratory regression and data mining. Methods This data mining study was conducted on people who were diagnosed with dyslipidemia in phase 2 (n = 1097) of the Mashh...

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Principais autores:	Alireza Takhttavous, Maryam Saberi-Karimian, Somayeh Ghiasi Hafezi, Habibollah Esmaily, Marzieh Hosseini, Gordon A. Ferns, Elham Amirfakhrian, Mark Ghamsary, Majid Ghayour-Mobarhan, Maryam Alinezhad-Namaghi
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2024-01-01
סדרה:	Lipids in Health and Disease
נושאים:	Dyslipidemias Body surface area Body mass index Anthropometry Data mining Decision tree
גישה מקוונת:	https://doi.org/10.1186/s12944-024-02006-2
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