Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador

Article

Abstract: Over the last few years, the use of remote sensing data in different applications such as estimation

Palabras claves:

Machine learning, QUITO, remote sensing, Respiratory disease, Spatial models

Autores:

César Iván Alvarez-Mendoza, Fonseca J., Freitas A., Teodoro A.C.

Fuentes:

google

scopus