Artificial intelligence fuzzy system for the design of confinements during quarantines
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:151 |
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Enthalten in: |
Revista medica de Chile - 151(2023), 2 vom: 25. Feb., Seite 197-205 |
Sprache: |
Spanisch |
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Weiterer Titel: |
Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia |
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Beteiligte Personen: |
Sánchez, Daniel E [VerfasserIn] |
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Links: |
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Themen: |
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Anmerkungen: |
Date Completed 01.02.2024 Date Revised 01.02.2024 published: Print Citation Status MEDLINE |
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doi: |
10.4067/s0034-98872023000200197 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM367841711 |
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245 | 1 | 0 | |a Artificial intelligence fuzzy system for the design of confinements during quarantines |
246 | 3 | 3 | |a Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia |
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500 | |a Date Completed 01.02.2024 | ||
500 | |a Date Revised 01.02.2024 | ||
500 | |a published: Print | ||
500 | |a Citation Status MEDLINE | ||
520 | |a BACKGROUND: Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a RESULTS: Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators | ||
520 | |a CONCLUSIONS: Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population | ||
650 | 4 | |a English Abstract | |
650 | 4 | |a Journal Article | |
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700 | 1 | |a Méndez, Claudio A |e verfasserin |4 aut | |
700 | 1 | |a Brun, Gina |e verfasserin |4 aut | |
700 | 1 | |a Traub-Muñoz, Marcela |e verfasserin |4 aut | |
700 | 1 | |a Barros, Laécio C |e verfasserin |4 aut | |
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