Mostrando 6 resultados de: 6
Publisher
Information Fusion(1)
Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021(1)
Statistical Analysis and Data Mining(1)
Statistics in Medicine(1)
Área temáticas
Programación informática, programas, datos, seguridad(3)
Probabilidades y matemática aplicada(2)
Ciencias de la computación(1)
Enfermedades(1)
Física aplicada(1)
Área de conocimiento
Estadísticas(2)
Aprendizaje automático(1)
Epidemiología(1)
Optimización matemática(1)
Simulación por computadora(1)
Objetivos de Desarrollo Sostenible
ODS 3: Salud y bienestar(6)
ODS 17: Alianzas para lograr los objetivos(4)
ODS 9: Industria, innovación e infraestructura(2)
A spatio-temporal Bayesian model for syndromic surveillance: properties and model performance
OtherAbstract: Methods In this paper, we propose an inference model for determining the location of outbreaks of epPalabras claves:Autores:Francisco VeraFuentes:googleA spatio-temporal absorbing state model for disease and syndromic surveillance
ArticleAbstract: Reliable surveillance models are an important tool in public health because they aid in mitigating dPalabras claves:Conditional autoregressive model, Hidden markov model, Hierarchical model, influenzaAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopusBayesian CAR models for syndromic surveillance on multiple data streams: Theory and practice
ArticleAbstract: Syndromic surveillance has, so far, considered only simple models for Bayesian inference. This paperPalabras claves:Bayes, CAR models, Gibbs distribution, Markov random field, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Karr A.F., Lynch J., Niemi J.Fuentes:googlescopusBayesian methodology for spatio-temporal syndromic surveillance
OtherAbstract: Bayesian Methodology for Spatio-Temporal Syndromic Surveillance Page 1 Bayesian Methodology for SpatPalabras claves:Autores:Francisco VeraFuentes:googleBayesian methodology for the analysis of spatial-temporal surveillance data
ArticleAbstract: Early and accurate detection of outbreaks is one of the most important objectives of syndromic survePalabras claves:Conditional autoregressive process, Markov random field, Spatial statistics, Spatio-temporal, Syndromic surveillanceAutores:Banks D., Datta G., Francisco Vera, Heaton M.J., Karr A.F., Lynch J., Zou J.Fuentes:googlescopusPrototype L-band Bistatic Radar Using Software-Defined Radio
Conference ObjectAbstract: This paper describes the design and implementation of a bistatic radar prototype using SDR and 2 GHzPalabras claves:Bistatic radar, Doppler, LabVIEW, linear regression, Software defined-radioAutores:Andrea Mora, Carlos Bosquez, Francisco VeraFuentes:scopus