Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia / Artificial intelligence fuzzy system for the design of confinements during quarantines
Rev. méd. Chile
; 151(2): 197-205, feb. 2023. ilus, tab
Article
em Es
| LILACS
| ID: biblio-1522083
Biblioteca responsável:
CL126.2
ABSTRACT
BACKGROUND:
Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus.AIM:
To analyze and compare retrospectively the implementation of the Step- to-Step plan devised by the Chilean Ministry of Health during the pandemic. To propose a decision-making path based on an artificial intelligence fuzzy system to determine confinements in specific territories. MATERIAL ANDMETHODS:
The Step-to-Step Plan threshold values such hospital network capacity, epidemic spreading, testing and contact tracing capability were modeled using fuzzy numbers and fuzzy rule-based systems.RESULTS:
Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators.CONCLUSIONS:
Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
LILACS
Assunto principal:
Inteligência Artificial
/
Quarentena
Limite:
Humans
Idioma:
Es
Revista:
Rev. méd. Chile
Assunto da revista:
MEDICINA
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Brasil
/
Chile
País de publicação:
Chile