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Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements
BACKGROUND: The aim of this study was to evaluate the anthropometric measurements most associated with type 2 diabetes mellitus (T2DM) using machine learning approaches. METHODS: A prospective study was designed for a total population of 9354 (43% men and 57% women) aged 35–65. Anthropometric measur...
Autores principales: | Saberi‐Karimian, Maryam, Mansoori, Amin, Bajgiran, Maryam Mohammadi, Hosseini, Zeinab Sadat, Kiyoumarsioskouei, Amir, Rad, Elias Sadooghi, Zo, Mostafa Mahmoudi, Khorasani, Negar Yeganeh, Poudineh, Mohadeseh, Ghazizadeh, Sara, Ferns, Gordon, Esmaily, Habibollah, Ghayour‐Mobarhan, Majid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833979/ https://www.ncbi.nlm.nih.gov/pubmed/36510349 http://dx.doi.org/10.1002/jcla.24798 |
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