Diagnosis of Atypical Forms of Myocardial Infarction Based on Fuzzy Logic

Mutovkina, Nataliya; Borodulin, A.I.

doi:10.1007/978-3-031-04809-8_34

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Currently, there are several investigations that have implemented type-1 fuzzy logic to help diagnose some diseases that help doctors improve early detection diagnoses of various diseases; some cases are: infarction [36], autism [37], and chronic kidney issues [38].…”

Section: Basic Concepts Of Fuzzy Logicmentioning

confidence: 99%

Comparative Study between Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation for the Cuckoo Search Algorithm

2022

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The objective of this work is focused on improving the optimization ability of the cuckoo search algorithm (CS), and, for this reason, a comparison is made between type-1 and interval type-2 fuzzy logic to look for more promising results in the cuckoo search algorithm (CS), and to help performance, we dynamically adjust the alpha parameter. The idea is to enable CS in leaving the local optima, and then be able to reach the global optima. Currently, there are good results in improving the optimization of algorithms through intelligent fuzzy logic computing after finding the best adjustment parameters. The approach is based on finding the ideal rules with their respective linguistic variables to represent the real world as is perceived by humans. The membership functions that the fuzzy system uses are symmetrically defined for reducing the search space, and this symmetry is what makes the algorithm efficient. We plan to test the proposal in future works in the optimal design of control systems. In the present study, we use five benchmark mathematical functions with variation in the number of dimensions to validate the approach and perform the comparison of interval type-2 and type-1 fuzzy systems in parameter adaptation. For the dynamic adjustment of the parameters, we select the alpha parameter, and the values of Pa and Beta are defined based on the analysis of their behavior in previous works.

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Section: Basic Concepts Of Fuzzy Logicmentioning

confidence: 99%

Comparative Study between Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation for the Cuckoo Search Algorithm

2022

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Predictors of high risk of atypical clinic of myocardial infarction

Garganeeva¹,

Кужелева²,

Тукиш³

et al. 2022

jour

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Objective: analysis of predictors allowing to predict a high probability of atypical clinical course of myocardial infarction (MI) at an early stage of development of acute coronary insufficiency before complex diagnostic procedures.Materials and methods: the study included patients from the Tomsk population with confirmed MI in the period 2001–2017, registered in the database "Register of Acute Myocardial Infarction" (ROIM) (n=7775). In 79.6% (n=6188), the clinical picture of MI was characterized by typical manifestations in the form of a prolonged angina attack (group 1), in the remaining 20.4%; patients (n=1587) recorded atypical manifestations of MI (group 2).Results: patients with atypical clinical manifestations of MI were more often represented by women, had an older age and a burdened comorbid background. The anamnesis of IM and coronary artery revascularization were more commonly recorded in a cohort of patients with typical clinical manifestations of coronary catastrophe. All parameters that demonstrated significant differences in patients with different types of clinical flow IM were included in the logistic regression model. As a result of a step-by-step procedure for elimination of factors, independent associations with the development of atypical symptoms of acute MI showed the following indicators: female sex, elderly age, IM history, type 2 diabetes mellitus, history of myocardial revascularization, atrial fibrillation, alcohol consumption before MI, obesity, smoking.Conclusion: female gender, elderly age, the presence of atrial fibrillation, diabetes mellitus, obesity and condition after alcohol intoxication predisposes to atypical acute MI, whereas male gender transferred to IM or revascularization, as well as smoking are currently more common in patients with a typical clinical pattern.

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Diagnosis of Atypical Forms of Myocardial Infarction Based on Fuzzy Logic

Cited by 2 publications

References 7 publications

Comparative Study between Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation for the Cuckoo Search Algorithm

Comparative Study between Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation for the Cuckoo Search Algorithm

Predictors of high risk of atypical clinic of myocardial infarction

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