Deep Learning and Permutation Entropy in the Stratification of Patients with Chagas Disease. - Diego Rodrigo Cornejo; Antonio Ravelo-García; Esteban Alvarez; Maria Fernanda Rodriguez; Luz Diaz; Victor Cabrera-Caso; Dante Condori-Merma; Miguel Vizcardo Cornejo (CinC, 2022)

Densely Connected Neural Network and Permutation Entropy in the Early Diagnostic in COVID Patients. - Luz Diaz; Antonio Ravelo-García; Esteban Alvarez; Maria Fernanda Rodriguez; Diego Rodrigo Cornejo; Victor Cabrera-Caso; Dante Condori-Merma; Miguel Vizcardo Cornejo (CinC, 2022)

Approximate Entropy and Densely Connected Neural Network in the Early Diagnostic of Patients with Chagas Disease. - Maria Fernanda Rodriguez; Antonio Ravelo-García; Esteban Alvarez; Luz Diaz; Diego Rodrigo Cornejo; Victor Cabrera-Caso; Dante Condori-Merma; Miguel Vizcardo Cornejo (CinC, 2022)

Optimal Artificial Neural Network for the Diagnosis of Chagas Disease Using Approximate Entropy and Data Augmentation. - Maria Fernanda Rodriguez; Diego Rodrigo Cornejo; Luz Diaz; Antonio Ravelo-García; Esteban Alvarez; Victor Cabrera-Caso; Dante Condori-Merma; Miguel Vizcardo Cornejo (CinC, 2023)

Chagas Disease: An Analysis with Temporal Features Extraction, Permutation Entropy and a Stratification of Heart Risk by a Deep Learning Model. - Zayd Isaac Valdez; Luz Diaz; Antonio Ravelo-García; Miguel Vizcardo Cornejo (CinC, 2023)

Fetal Arrhythmia: Deep Learning and Clustering Techniques, Analysis Through Permutation Entropy and Genetic Algorithms in Its Early Diagnosis. - Zayd Isaac Valdez; Luz Diaz; Antonio Ravelo-García; Miguel Vizcardo Cornejo (CinC, 2023)