Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model

Vieira, Luciana Cristina Pompeo Ferreira da Silva; Rizol, Paloma Maria Silva Rocha; Nascimento, Luiz Fernando Costa

doi:10.1590/1413-81232018243.08172017

Cited by 6 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the medical area, most medical concepts are fuzzy (Massad et al 1999). These concepts usually are difficult to formalize and measure (Vieira et al 2019). Fuzzy logic is introduced as an important technique for modelling imprecision in medical fields (Zadeh 2008).…”

Section: Using Fuzzy Techniques In Disease Assessmentmentioning

confidence: 99%

Developing a Risk Model for Assessment and Control of the Spread of COVID-19

Issa

Balabel

Abdelhakeem

et al. 2021

Risks

View full text Add to dashboard Cite

Coronavirus disease 2019 (COVID-19) continues to spread rapidly all over the world challenging nearly all governments. The exact nature of COVID-19’s spread and risk factors for such a rapid spread are still imprecise as available data depend on confirmed cases only. This may result in an asymmetrically distributed burden among countries. There is an urgent need for developing a new technique or model to identify and analyze risk factors affecting such a spread. Fuzzy logic appears to be suitable for dealing with multi-risk groups with undefined data. The main purpose of this research was to develop a risk analysis model for COVID-19’s spread evaluation. Other objectives included identifying such risk factors aiming to find out reasons for such a fast spread. Nine risk groups were identified and 46 risk factors were categorized under these groups. The methodology in this study depended on identifying each risk factor by its probability of occurrence and its impact on viruses spreading. Many logical rules were used to support the proposed risk analysis model and represented the relation between probabilities and impacts as well as to connect other risk factors. The model was verified and applied in Saudi Arabia with further probable use in similar conditions. Based on the model results, it was found that (daily activities) and (home isolation) are considered groups with highest risk. On the other hand, many risk factors were categorized with high severity such as (poor social distance), (crowdedness) and (poor personal hygiene practices). It was demonstrated that the impact of COVID-19’s spread was found with a positive correlation with the risk factors’ impact, while there was no association between probability of occurrence and impact of the risk factors on COVID-19’s spread. Saudi Arabia’s quick actions have greatly reduced the impact of the risks affecting COVID-19’s spread. Finally, the new model can be applied easily in most countries to help decision makers in evaluating and controlling COVID-19’s spread.

show abstract

Section: Using Fuzzy Techniques In Disease Assessmentmentioning

confidence: 99%

Developing a Risk Model for Assessment and Control of the Spread of COVID-19

Issa

Balabel

Abdelhakeem

et al. 2021

Risks

View full text Add to dashboard Cite

show abstract

“…In medical field, most medical concepts are fuzzy [15,16]. These concepts usually are difficult to formalize and measure [17]. Fuzzy logic is making a decision in an inaccuracy, uncertainty and incompleteness environment [14].…”

Section: Introductionmentioning

confidence: 99%