Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia
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 and Methods: 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.
| Main Authors: | , , , , |
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| Format: | Digital revista |
| Language: | Spanish / Castilian |
| Published: |
Sociedad Médica de Santiago
2023
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| Online Access: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872023000200197 |
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