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Miguel Vizcardo Cornejo
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2020 – today
- 2023
- [c6]Maria Fernanda Rodriguez, Diego Rodrigo Cornejo, Luz Diaz, Antonio Ravelo-García, Esteban Alvarez, Victor Cabrera-Caso, Dante Condori-Merma, Miguel Vizcardo Cornejo
:
Optimal Artificial Neural Network for the Diagnosis of Chagas Disease Using Approximate Entropy and Data Augmentation. CinC 2023: 1-4 - [c5]Zayd Isaac Valdez, Luz Diaz, Antonio Ravelo-García, Miguel Vizcardo Cornejo
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Chagas Disease: An Analysis with Temporal Features Extraction, Permutation Entropy and a Stratification of Heart Risk by a Deep Learning Model. CinC 2023: 1-4 - [c4]Zayd Isaac Valdez, Luz Diaz, Antonio Ravelo-García, Miguel Vizcardo Cornejo
:
Fetal Arrhythmia: Deep Learning and Clustering Techniques, Analysis Through Permutation Entropy and Genetic Algorithms in Its Early Diagnosis. CinC 2023: 1-4 - 2022
- [c3]Diego Rodrigo Cornejo, Antonio Ravelo-García, Esteban Alvarez, Maria Fernanda Rodriguez
, Luz Diaz, Victor Cabrera-Caso, Dante Condori-Merma, Miguel Vizcardo Cornejo
:
Deep Learning and Permutation Entropy in the Stratification of Patients with Chagas Disease. CinC 2022: 1-4 - [c2]Luz Diaz, Antonio Ravelo-García, Esteban Alvarez, Maria Fernanda Rodriguez
, Diego Rodrigo Cornejo, Victor Cabrera-Caso, Dante Condori-Merma, Miguel Vizcardo Cornejo
:
Densely Connected Neural Network and Permutation Entropy in the Early Diagnostic in COVID Patients. CinC 2022: 1-4 - [c1]Maria Fernanda Rodriguez
, Antonio Ravelo-García, Esteban Alvarez, Luz Diaz, Diego Rodrigo Cornejo, Victor Cabrera-Caso, Dante Condori-Merma, Miguel Vizcardo Cornejo
:
Approximate Entropy and Densely Connected Neural Network in the Early Diagnostic of Patients with Chagas Disease. CinC 2022: 1-4
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