Analysis and Control of Blood Glucose Situation for Diabetic Patients Based on Interval Type-2 Fuzzy Sets

2020 ◽  
Author(s):  
Chen Liu ◽  
Hong Mo ◽  
Fei-Yue Wang
Keyword(s):  
Blood Glucose ◽  
Fuzzy Sets ◽  
Diabetic Patients ◽  
Interval Type ◽  
And Control

scholarly journals Android based Diabetic Manager to Enhance Compliance and to Control Blood Glucose Level among Type 2 Diabetic Patients in Magelang, Central Java, Indonesia

Webology ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 179-191
Author(s):  
Heru Supriyatno ◽  
Dwi Ari Murti Widigdo ◽  
Wiwin Renny Rahmawati
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Patient Adherence ◽  
Control Group ◽  
P Value ◽  
Diabetic Patients ◽  
The Status ◽  
And Control

Android Based Diabetic Manager (ABDM) is an application used for diabetic patients to control their diet. This application is an easy way to remind them in consuming foods and giving them alert when its necessary calories have been achieved. This study was conducted in response to technological developments in the Era 4.0 to help people with Type 2 Diabetes Mellitus through diet control that can be done independently. This study was conducted in the city of Magelang aimed to evaluate whether using ABMD was effective to improve patients adherence in their diet and to control their blood glucose levels. This experimental study was using pre test and post test with control group design. By using simple random sampling, 52 people suffering from Type 2 Diabetes Mellitus recruited in this study devided into two groups, ABDM group and control group. The Pearson Chi-Square test result showed that there was significantly different between ABDM group and control group in the status of blood glucose control and patient adherence with p value was 0.048and 0.000 respectively (p value <0.05). This result indicated that H0 was rejected and H1 was accepted, which could be interpreted that Android based Diabetic Managerapplication influenced the status of blood sugar control and improved the patient adherence in managing their diet. Android based Diabetic Managerapplication influenced the status of blood sugar control and improved the patient adherence in managing their diet. Recomendation was made to conduct future study in the wider Diabetes community by adding more complete types of menu list and its variations in the Android based Diabetic Manager.

Role of Inflammatory Markers in Elderly Type 2 Diabetic Patients with Mild Cognitive Impairment

2019 ◽  
Vol 15 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Salwa S. Hosny ◽  
Ahmed M. Bahaaeldin ◽  
Mohamed S. Khater ◽  
Meram M. Bekhet ◽  
Hayam A. Hebah ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Elderly Patients ◽  
Vascular Disease ◽  
Plasma Glucose ◽  
Serum Levels ◽  
Diabetic Patients ◽  
Hs Crp ◽  
And Control

<P>Background: Type 2 diabetes (T2DM) is a risk factor for Alzheimer’s disease and mild cognitive impairment. The etiology of cognitive impairment in people with T2DM is uncertain but, chronic hyperglycemia, cerebral micro vascular disease, severe hypoglycemia, and increased prevalence of macro vascular disease are implicated. </P><P> Objectives: To determine the serum levels of soluble vascular adhesion molecule (sVCAM-1) and highly sensitive C-reactive protein (hs-CRP) in elderly type 2 diabetics with mild cognitive impairment (MCI). Methods: Our study was conducted on 90 elderly subjects (aged 60 years old or more). They were divided into Group І, 30 patients with T2DM and mild cognitive impairment, group ІІ, 30 patients with T2DM without cognitive impairment and group III, 30 healthy subjects as a control group. They were subjected to history taking, full clinical examination, anthropometric measurement, the Addenbrooke’s Cognitive Examination III (ACE---III 2012), Fasting plasma glucose, 2 hours plasma glucose, HbA1c, lipid profile, protein/creatinine ratio, serum sVCAM-1 and hs-CRP. Results: Serum levels of sVCAM-1 in diabetic elderly patients with MCI were significantly higher (946.7 ± 162.01 ng/ml) than diabetic elderly patients without cognitive impairment (479.06 ± 65.27 ng/ml) and control (263.7 ± 72.05 ng/ml) with (P=0.002). Serum levels of Hs-CRP in diabetic elderly patients with MCI were significantly higher than as diabetic elderly patients without cognitive impairment and control with (P=0.005). Conclusion: Elderly diabetic patients with mild cognitive impairment have higher levels of soluble adhesion molecules and markers of low-grade systemic inflammation than other groups.</P>

An interval type-2 hesitant fuzzy best-worst method

2021 ◽  
pp. 1-28
Author(s):  
Ashraf Norouzi ◽  
Hossein Razavi hajiagha
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Uncertain Data ◽  
Interval Type ◽  
Best Worst Method

Multi criteria decision-making problems are usually encounter implicit, vague and uncertain data. Interval type-2 fuzzy sets (IT2FS) are widely used to develop various MCDM techniques especially for cases with uncertain linguistic approximation. However, there are few researches that extend IT2FS-based MCDM techniques into qualitative and group decision-making environment. The present study aims to adopt a combination of hesitant and interval type-2 fuzzy sets to develop an extension of Best-Worst method (BWM). The proposed approach provides a flexible and convenient way to depict the experts’ hesitant opinions especially in group decision-making context through a straightforward procedure. The proposed approach is called IT2HF-BWM. Some numerical case studies from literature have been used to provide illustrations about the feasibility and effectiveness of our proposed approach. Besides, a comparative analysis with an interval type-2 fuzzy AHP is carried out to evaluate the results of our proposed approach. In each case, the consistency ratio was calculated to determine the reliability of results. The findings imply that the proposed approach not only provides acceptable results but also outperforms the traditional BWM and its type-1 fuzzy extension.

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