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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
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

Internet

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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