Rafael Magallanes-Quintanar - JoVE Visualize

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Journal of Diabetes Research|July 5, 2023

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative EvaluationAntonio García-Domínguez, Carlos E Galván-Tejada, Rafael Magallanes-Quintanar, et al.

Diagnostics (Basel, Switzerland)|January 10, 2026

Non-Glycemic Clinical Data for Type 2 Diabetes Detection in Mexican Adults: A Comparative Analysis of Atherogenic Indices, Statistical Transformations, and Machine Learning AlgorithmsMartin Hazael Guerrero-Flores, Valeria Maeda-Gutiérrez, Carlos E Galván-Tejada, et al.

Bioengineering (Basel, Switzerland)|June 19, 2018

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014Laura A Zanella-Calzada, Carlos E Galván-Tejada, Nubia M Chávez-Lamas, et al.

Healthcare (Basel, Switzerland)|April 3, 2021

Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification MethodsManuel A Soto-Murillo, Jorge I Galván-Tejada, Carlos E Galván-Tejada, et al.

Diseases (Basel, Switzerland)|October 24, 2023

Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and ValidationAntonio García-Domínguez, Carlos E Galván-Tejada, Rafael Magallanes-Quintanar, et al.

Diagnostics (Basel, Switzerland)|January 13, 2019

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar PatientsLaura A Zanella-Calzada, Carlos E Galván-Tejada, Nubia M Chávez-Lamas, et al.

Peerj. Computer Science|April 5, 2021

Deep artificial neural network based on environmental sound data for the generation of a children activity classification modelAntonio García-Domínguez, Carlos E Galvan-Tejada, Laura A Zanella-Calzada, et al.

Diagnostics (Basel, Switzerland)|March 21, 2020

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive EpisodesJulieta G Rodríguez-Ruiz, Carlos E Galván-Tejada, Laura A Zanella-Calzada, et al.

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Showing results (1-10 of 8) with videos related to

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Journal of Diabetes Research|July 5, 2023

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative EvaluationAntonio García-Domínguez, Carlos E Galván-Tejada, Rafael Magallanes-Quintanar, et al.

Diagnostics (Basel, Switzerland)|January 10, 2026

Non-Glycemic Clinical Data for Type 2 Diabetes Detection in Mexican Adults: A Comparative Analysis of Atherogenic Indices, Statistical Transformations, and Machine Learning AlgorithmsMartin Hazael Guerrero-Flores, Valeria Maeda-Gutiérrez, Carlos E Galván-Tejada, et al.

Bioengineering (Basel, Switzerland)|June 19, 2018

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014Laura A Zanella-Calzada, Carlos E Galván-Tejada, Nubia M Chávez-Lamas, et al.

Healthcare (Basel, Switzerland)|April 3, 2021

Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification MethodsManuel A Soto-Murillo, Jorge I Galván-Tejada, Carlos E Galván-Tejada, et al.

Diseases (Basel, Switzerland)|October 24, 2023

Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and ValidationAntonio García-Domínguez, Carlos E Galván-Tejada, Rafael Magallanes-Quintanar, et al.

Diagnostics (Basel, Switzerland)|January 13, 2019

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar PatientsLaura A Zanella-Calzada, Carlos E Galván-Tejada, Nubia M Chávez-Lamas, et al.

Peerj. Computer Science|April 5, 2021

Deep artificial neural network based on environmental sound data for the generation of a children activity classification modelAntonio García-Domínguez, Carlos E Galvan-Tejada, Laura A Zanella-Calzada, et al.

Diagnostics (Basel, Switzerland)|March 21, 2020

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive EpisodesJulieta G Rodríguez-Ruiz, Carlos E Galván-Tejada, Laura A Zanella-Calzada, et al.

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