UN MODELO MATEMÁTICO DE CLASIFICACIÓN DE PACIENTES CON SINTOMAS COVID-19

Julio Enrique Trujillo González; Iveth Verónica Martínez Valderrama

Submitted July 20, 2022

Published 2022-07-20

Artículos

Vol. 24 No. 2 (2022): Tecnociencia

A MATHEMATICAL MODEL FOR CLASSIFICATION OF PATIENTS WITH COVID-19 SYMPTOMS

Julio Enrique Trujillo González⁺⁻
Iveth Verónica Martínez Valderrama⁺⁻

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Citación:

DOI: ND

Published: 2022-07-20

How to Cite

Trujillo González, J. E. and Martínez Valderrama, I. V. (2022) “A MATHEMATICAL MODEL FOR CLASSIFICATION OF PATIENTS WITH COVID-19 SYMPTOMS”, Tecnociencia, 24(2), pp. 66–77. Available at: https://revistas.up.ac.pa/index.php/tecnociencia/article/view/3071 (Accessed: 21 November 2024).

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Abstract

The objective of this work is to classify patients with COVID-19 symptoms using the structural an artificial neural network, optimizing it using the Stochastic gradient descent (SGD) method and the Adam method. Tensorflow packages were very useful to obtain the model sequentially and the results that ensure that it is possible to modify or insert new data. The incorporation of the artificial neural network will allow us to make a classification that takes into account 99% of the variability of the dependent variable(s) within the data set.

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