Aprendizaje automático aplicado a la predicción de diabetes mellitus, utilizando información socioeconómica y ambiental de usuarios del sistema de salud.

Objective: The objective was to apply models based on machine learning techniques to support the early diagnosis of diabetes mellitus, using environmental, social, economic and health data variables, without dependence on clinical sample collection. Methodology: Data from 10,889 users affiliated wit...

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Bibliographic Details

Published in:	Revista Facultad Nacional de Salud Pública Vol. 41; no. 2; pp. 1 - 14
Main Authors:	Alexander Mejía, Jessner, Andrés Oviedo-Benalcázar, Mario, Armando Ordoñez, José, Fernando Valencia, José
Format:	Article
Published:	Universidad de Antioquia, Facultad Nacional de Salud Publica may-ago2023
Subjects:	Machine learning K-nearest neighbor classification Random forest algorithms Decision trees Databases
Online Access:	View this record in EBSCOhost