Comparing and tuning machine learning algorithms to predict type 2 diabetes mellitus

Author:

Aguilera-Venegas Gabriel,López-Molina Amador,Rojo-Martínez Gemma,Galán-García José LuisORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference15 articles.

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3. Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the di@bet.es study;Soriguer;Diabetologia,2012

4. Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran cardio-metabolic genetics study;Akbarzadeh;J. Trans. Med. 20,2022

5. R–project for statistical computing;Dessau;Ugeskr. Laeger.,2008

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