A5065229030- Neural Networks and Applications
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Adipokines, Inflammation, and Metabolic Diseases
- Fuzzy Logic and Control Systems
- Optimization and Variational Analysis
- Fuzzy Systems and Optimization
- Optimization and Mathematical Programming
- Inflammatory Biomarkers in Disease Prognosis
- Machine Learning and ELM
- Adaptive Dynamic Programming Control
- Metaheuristic Optimization Algorithms Research
- Artificial Intelligence in Healthcare
- COVID-19 Clinical Research Studies
- Control Systems and Identification
- Blood Pressure and Hypertension Studies
- Liver Disease Diagnosis and Treatment
- Body Composition Measurement Techniques
- Gout, Hyperuricemia, Uric Acid
- Cardiovascular Disease and Adiposity
- Lipoproteins and Cardiovascular Health
- Chaos control and synchronization
- Trace Elements in Health
- Lipid metabolism and disorders
- Healthcare Systems and Public Health
- Guidance and Control Systems
Ferdowsi University of Mashhad
2016-2025
Mashhad University of Medical Sciences
2022-2024
Abstract Type 2 Diabetes Mellitus (T2DM) is a significant public health problem globally. The diagnosis and management of diabetes are critical to reduce the complications including cardiovascular disease cancer. This study was designed assess potential association between T2DM routinely measured hematological parameters. subsample 9000 adults aged 35–65 years recruited as part Mashhad stroke heart atherosclerotic disorder (MASHAD) cohort study. Machine learning techniques logistic...
The aim of this study was to evaluate the anthropometric measurements most associated with type 2 diabetes mellitus (T2DM) using machine learning approaches.A prospective designed for a total population 9354 (43% men and 57% women) aged 35-65. Anthropometric include weight, height, demispan, Hip Circumference (HC), Mid-arm (MAC), Waist (WC), Body Roundness Index (BRI), Adiposity (BAI), A Shape (ABSI), Mass (BMI), Waist-to-height Ratio (WHtR), Waist-to-hip (WHR) were completed all...
The aim of this study was to evaluate the potential models determine most important anthropometric factors associated with type 2 diabetes mellitus (T2DM). A dataset derived from Mashhad Stroke and heart atherosclerotic disorders (MASHAD) comprising 9354 subject aged 65 - 35. 25% (2336 people) subjects were diabetic 75% (7018 where non-diabetic used for analysis 10 age that measured in all patients. K-nearest neighbor (KNN) model assess association between T2DM selected factors. evaluated...
In this paper, a neurodynamic model is given to solve nonlinear pseudo-monotone projection equation. Under pseudo-monotonicity condition and Lipschitz continuous condition, the proved be stable in sense of Lyapunov, globally convergent, asymptotically stable, exponentially stable. Also, we show that, our new effective nonconvex optimization problems. Moreover, since monotonicity special case also co-coercive mapping monotone, strongly pseudo-monotone, can applied broader classes constrained...
Corona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), spread humans December 2019 Wuhan, China. purpose this study was to investigate the relationship between diabetes mellitus (T2DM), and their biochemical hematological factors with level infection COVID-19 improve treatment management disease.This conducted on a population 13,170 including 5780 subjects SARS-COV-2 7390 without SARS-COV-2, age range...
Abstract This study assessed the association between atherosclerosis indices, serum uric acid to high‐density lipoprotein cholesterol ratio (UHR) and triglyceride‐glucose (TyG) index prevalence of hypertension among MASHAD cohort participants. In this cross‐sectional study, participants were divided into hypertensive non‐hypertensive subjects. The UHR TyG two groups compared. Logistic regression analyses used determine associations these indices with in both sex. Receiver operating...
Background: Cardiovascular diseases (CVDs) are a leading cause of death, with traditional risk factors like dyslipidemia, insulin resistance (IR), and obesity studied extensively. However, current indices do not fully integrate glucose cholesterol metabolism. This study introduces the Cholesterol, HDL, Glucose Index (CHG) as more comprehensive biomarker for diagnosing CVDs compares its predictive value to existing TyG, AIP, LAP. Materials Methods: The Mashhad Stroke Heart Atherosclerotic...
In this brief, we obtain the exact solution of absolute value equation (AVE). To best our knowledge, there is no attempt to problem. However, exist many numerical methods get approximation AVE. Here, try present a neural network model in order find AVE, analytically. Furthermore, Lyapunov stability and global convergence are proved. Finally, simulation results show performance, effectiveness, accuracy method.
Abstract A randomized clinical trial high‐density lipoprotein (HDL) cholesterol uptake capacity (CUC) is reduced in patients with metabolic syndrome (MetS). We have assessed the effect of crocin supplementation on HDL CUC MetS. Forty‐four subjects MetS were randomly allocated to one two groups: group received placebo and other at a dose 30 mg (two tablets 15 per day) for 8 weeks. Serum biochemical parameters measured using an AutoAnalyzer BT3000 (BioTechnica). The modified method cell free,...
AbstractObjective To investigate the association between cardiovascular diseases (CVDs) and haematologic factors in a cohort of Iranian adults.Method For total population 9,704 aged 35 to 65, prospective study was designed. Haematologic demographic characteristics (such as gender, age, smoking status) were completed for all participants. The CVDs assessed through logistic regression (LR) analysis, decision tree (DT), bootstrap forest (BF).Results Almost included significantly associated with...
The efficiency of high-density lipoprotein (HDL) to efflux cholesterol contributes the reverse transport (RCT) pathway as one HDL's proposed functions and depends on ability HDL uptake cholesterol. We aimed investigate capacity (CUC) by a newly developed assay in samples from MASHAD (Mashhad Stroke Heart Atherosclerotic Disorders) cohort study.The study population comprised 153 individuals CVD diagnosed specialist cardiologist, over 6 years follow-up, 350 subjects without CVD. used modified...
Background Gold standard methods of type 2 diabetes mellitus are expensive and therefore not practical for large scale studies in low‐income countries. We have investigated the total cholesterol, high density lipoprotein (HDL), glucose (CHG) index diagnosis which is derived from fasting state. In this study we aimed to compare accuracy with CHG triglycerides (TG) levels (TyG) as surrogates mellitus. Methods A 9,704 individuals between 35 65 years age were recruited part Mashhad stroke heart...
We investigated the association of serum uric acid to high-density lipoprotein ratio (UHR) with presence and severity metabolic syndrome (MetS) among MASHAD cohort participants.In this cross-sectional study, according International Diabetes Federation criteria, participants were divided into MetS (+) (-) groups. classified Group 1 (those 3 criteria), 2 4 criteria) 5 criteria). UHR was compared groups.Data related 9637 subjects including 3824 5813 analysed. The mean significantly higher (p <...
The identification of copy number variations (CNVs) helps the diagnosis many diseases. One major hurdle in path CNVs discovery is that boundaries normal and aberrant regions cannot be distinguished from raw data, since various types noise contaminate them. To tackle this challenge, total variation regularization mostly used optimization problems to approximate noise-free data corrupted observations. minimization using such challenging deal with it non-differentiable. In paper, we propose a...
This paper aims to investigate the fuzzy constrained matrix game (MG) problems using concepts of recurrent neural networks (RNNs). To best our knowledge, this is first in attempting find a solution for RNN models. For purpose, problem reformulated into weighting problem. Then, Karush-Kuhn-Tucker (KKT) optimality conditions are provided The KKT used propose model. Moreover, Lyapunov stability and global convergence model also confirmed. Finally, three illustrative examples presented...