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
Dans Espagnol
| LILACS
| ID: biblio-1522083
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.
Texte intégral:
Disponible
Indice:
LILAS (Amériques)
Sujet Principal:
Intelligence artificielle
/
Quarantaine
Limites du sujet:
Humains
langue:
Espagnol
Texte intégral:
Rev. méd. Chile
Thème du journal:
Médicament
Année:
2023
Type:
Article
Pays d'affiliation:
Brésil
/
Chili
Institution/Pays d'affiliation:
Servicio de Salud Valdivia/CL
/
Universidad Austral de Chile/CL
/
Universidad Estadual de Campinas/BR
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