Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador-Reference-Cited by-同舟云学术

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

Published:2020-10 Issue: Volume:123 Page:102273
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Alvarez-Mendoza Cesar I.,Teodoro Ana,Freitas Alberto,Fonseca Joao

Funder

University of Porto

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference80 articles.

1. Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network;Ahangarcani;Geospatial Health,2019

2. Improving NDVI by removing cirrus clouds with optical remote sensing data from Landsat-8 – a case study in Quito, Ecuador;Alvarez-Mendoza;Remote Sensing Applications: Society and Environment,2018

3. Spatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables;Alvarez-Mendoza;Environmental Monitoring and Assessment,2019

4. Estimación de la contaminación del aire por PM10 en Quito a través de índices ambientales con imágenes LANDSAT ETM+;Alvarez;Revista Cartografica,2016

5. Modeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data;Alvarez,2019

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Medical Remote Sensing and Internet of Things for Detection of Epileptic Seizure Using Deep Neural Networks;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. Remote Sensing Evaluation of Environmental Factors for Disease Prediction by RS-GIS;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

3. Monitoring air quality using remote sensing based on a Google Earth engine application in countries with limited air quality data and control policies: a case study in Ecuador;Remote Sensing Technologies and Applications in Urban Environments VIII;2023-10-19

4. A Wearable Device for Respiratory Diseases Monitoring in Crowded Spaces. Case Study of COVID-19;Proceedings of Eighth International Congress on Information and Communication Technology;2023-09-01

5. Artificial intelligence can dynamically adjust strategies for auxiliary diagnosing respiratory diseases and analyzing potential pathological relationships;Journal of Breath Research;2023-08-25