Estimation of HbA1c for DMT2 risk prediction on the Mexican population based in Artificial Neural Networks-Reference-Cited by-同舟云学术

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Estimation of HbA1c for DMT2 risk prediction on the Mexican population based in Artificial Neural Networks

Published:2024-01 Issue:1 Volume:36 Page:101905
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Alonso-Bastida Alexis^ORCID,Cervantes-Bobadilla Marisol,Salazar-Piña Dolores Azucena,Adam-Medina Manuel,García-Morales Jarniel,Terrazas-Meráz María Alejandra

Funder

Universidad Autónoma del Estado de México

Tecnológico Nacional de México

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

General Computer Science

Reference56 articles.

1. Machine Learning as a Support for the Diagnosis of Type 2 Diabetes;Agliata;Int J Mol Sci,2023

2. Comparing and tuning machine learning algorithms to predict type 2 diabetes mellitus;Aguilera-Venegas;J Comput Appl Math,2023

3. Prediction Model of Type 2 Diabetes Mellitus for Oman Prediabetes Patients Using Artificial Neural Network and Six Machine Learning Classifiers;Al Sadi;Appl. Sci. (Switzerland),2023

4. Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors;Alonso-Bastida;Int J Environ Res Public Health,2022

5. Socioeconomic Level and the Relationship in Glycemic Behavior in the Mexican Population. A Nutritional Alternative Focused on Vulnerable Populations;Alonso-Bastida;J Community Health,2023

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