AIMC Topic: Metabolic Syndrome

Clear Filters Showing 91 to 97 of 97 articles

Machine Learning-Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular-Kidney-Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus.

Diabetes/metabolism research and reviews Sep 1, 2024
AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive method for assessing cardiovascular, kidney, and metabolic risks in patients with type 2 diabetes mellitus (T2DM).
Male Cardiovascular Diseases Middle Aged Prognosis Risk Assessment Female Risk Factors Heart Disease Risk Factors Humans Aged Carotid Intima-Media Thickness Cross-Sectional Studies Machine Learning Microcirculation Diabetes Mellitus, Type 2 Mouth Floor Follow-Up Studies Metabolic Syndrome
View on PubMed DOI

An interpretable predictive deep learning platform for pediatric metabolic diseases.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: Metabolic disease in children is increasing worldwide and predisposes a wide array of chronic comorbid conditions with severe impacts on quality of life. Tools for early detection are needed to promptly intervene to prevent or slow the de...
Female Male Deep Learning Adolescent Humans Electronic Health Records Area Under Curve Metabolic Diseases Prediabetic State Diabetes Mellitus, Type 2 Pediatric Obesity Metabolic Syndrome Child, Preschool Child ROC Curve
View on PubMed DOI

A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.

Bioengineered Dec 1, 2021
Early risk assessments and interventions for metabolic syndrome (MetS) are limited because of a lack of effective biomarkers. In the present study, several candidate genes were selected as a blood-based transcriptomic signature for MetS. We collected...
Protein Interaction Maps Computational Biology Databases, Genetic Female Male Transcriptome Metabolic Syndrome Algorithms Biomarkers Humans Machine Learning
View on PubMed DOI

Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Metabolic Syndrome Decision Making Non-alcoholic Fatty Liver Disease Diabetes Mellitus, Type 2 Liver Cirrhosis Hypertension Female Disease Progression Prevalence Aged Severity of Illness Index Adult Male Middle Aged Sensitivity and Specificity Cross-Sectional Studies Machine Learning Prognosis Humans Algorithms Retrospective Studies
View on PubMed DOI

Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
In 2005, global cardiovascular diseases caused 30% of deaths in Europe, which is 46% of total deaths for all death groups. Today, according to the International Adult Diabetes Federation, 20% to 25% of the adult population in the world has Metabolic ...
Humans Female Male Decision Support Systems, Clinical Fuzzy Logic Cardiovascular Diseases Risk Assessment Metabolic Syndrome Turkey
View on PubMed DOI

Increased lipocalin-2 vs reduced oxytocin in relation with adiposity, atherogenicity and hematological indices in metabolic syndrome patients with and without prediabetes.

Bratislavske lekarske listy Jan 1, 2018
OBJECTIVES: The neuropeptide hormone- Oxytocin (OXT) and glycoprotein Lipocalin-2 (LCN-2) are strongly associated with cardiometabolic risks of insulin resistance in metabolic syndrome (MetS) and prediabetes (preDM).
Waist Circumference Adiposity Metabolic Syndrome Prediabetic State Humans Lipocalin-2 Oxytocin Cross-Sectional Studies Body Mass Index
View on PubMed DOI

Prevalence and risk factors of chronic kidney disease in an african semi-urban area: Results from a cross-sectional survey in Gueoul, Senegal.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 1, 2017
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and incidence are difficult to assess. In Africa, few studies have been conducted on the prevalence of CKD. This study sought to describe the epidemiological ...
Male Middle Aged Risk Assessment Aged, 80 and over Obesity Kidney Adult Risk Factors Hypertension Proteinuria Cross-Sectional Studies Aged Renal Insufficiency, Chronic Senegal Humans Glomerular Filtration Rate Diabetes Mellitus Female Urban Health Prevalence Metabolic Syndrome Severity of Illness Index Health Surveys
View on PubMed DOI
Popular Topics
Recent Journals