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Marco de aprendizaje automático de prueba de concepto para la clasificación de enfermedades arbovirales utilizando
Elí Cruz-Parada1, Guillermina Vivar-Estudillo2, Laura Pérez-Campos Mayoral3
1División de Estudios de Posgrado e Investigación, Instituto Tecnológico de Oaxaca, Tecnológico Nacional de México, Oaxaca de Juárez C.P. 68030, Mexico.
Este estudio demuestra que los datos sintéticos pueden entrenar modelos de aprendizaje automático para el diagnóstico de enfermedades arbovirales como el dengue, el zika y la chikunguña, superando la escasez de datos para la detección temprana.
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