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Items: 5

1.

Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

Alcalá-Rmz V, Zanella-Calzada LA, Galván-Tejada CE, García-Hernández A, Cruz M, Valladares-Salgado A, Galván-Tejada JI, Gamboa-Rosales H.

Int J Environ Res Public Health. 2019 Jan 29;16(3). pii: E381. doi: 10.3390/ijerph16030381.

2.

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Gracia-Cortés MDC, Magallanes-Quintanar R, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Diagnostics (Basel). 2019 Jan 10;9(1). pii: E8. doi: 10.3390/diagnostics9010008.

3.

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Rivas-Gutierrez J, Magallanes-Quintanar R, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Bioengineering (Basel). 2018 Jun 18;5(2). pii: E47. doi: 10.3390/bioengineering5020047.

4.

A Case⁻Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013⁻2014.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Gracia-Cortés MDC, Moreno-Báez A, Arceo-Olague JG, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Int J Environ Res Public Health. 2018 May 10;15(5). pii: E957. doi: 10.3390/ijerph15050957.

5.

Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis.

Galván-Tejada CE, Zanella-Calzada LA, Galván-Tejada JI, Celaya-Padilla JM, Gamboa-Rosales H, Garza-Veloz I, Martinez-Fierro ML.

Diagnostics (Basel). 2017 Feb 14;7(1). pii: E9. doi: 10.3390/diagnostics7010009.

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