AIMC Topic: Metabolic Syndrome

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Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning.

Frontiers in endocrinology Aug 29, 2023
BACKGROUND: Metabolic syndrome (Mets) is considered a global epidemic of the 21st century, predisposing to cardiometabolic diseases. This study aims to describe and compare the body composition profiles between metabolic healthy (MH) and metabolic un...
Cross-Sectional Studies Metabolic Syndrome Obesity East Asian People Body Composition Humans Machine Learning
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Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing.

Journal of translational medicine Apr 28, 2022
BACKGROUND: The circadian system is responsible for regulating various physiological activities and behaviors and has been gaining recognition. The circadian rhythm is adjusted in a 24-h cycle and has transcriptional-translational feedback loops. Whe...
Humans Neural Networks, Computer Artificial Intelligence Metabolic Syndrome Whole Genome Sequencing Circadian Rhythm
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Very low-volume interval training improves nonalcoholic fatty liver disease fibrosis score and cardiometabolic health in adults with obesity and metabolic syndrome.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society Apr 24, 2022
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obese individuals. Physical exercise is an important element in obesity and metabolic syndrome (MetS) treatment. However, the vast majority of individuals...
Metabolic Syndrome Humans Obesity Adult Non-alcoholic Fatty Liver Disease Cardiovascular Diseases Fibrosis Weight Loss
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Machine learning-aided risk prediction for metabolic syndrome based on 3 years study.

Scientific reports Feb 10, 2022
Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding...
Longitudinal Studies Metabolic Syndrome Models, Statistical Physical Examination Adult Humans Male Machine Learning Middle Aged Female Risk Assessment Risk Factors
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Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Nutrients Jan 15, 2022
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management...
Humans Artificial Intelligence Machine Learning Risk Factors Adult Male Middle Aged Insulin-Like Growth Factor I Biomarkers Prognosis Retrospective Studies Female Glycated Hemoglobin Health Status Alanine Transaminase Metabolic Syndrome Absorptiometry, Photon Obesity Obesity, Metabolically Benign Adipose Tissue
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Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.

Frontiers in endocrinology Jul 14, 2021
BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classification for diagnosis is simply based on BMI or metabolic healthiness. The purpose of this study was to use machine learning to explore a more precise ...
Blood Glucose Insulin Body Mass Index Metabolic Syndrome Adult Polycystic Ovary Syndrome Humans Obesity Obesity, Metabolically Benign Machine Learning Hyperuricemia Male Female Uric Acid Comorbidity Glucose Tolerance Test China
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Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.

Scientific reports May 13, 2021
Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The 11p23.3 chromosomal region plays a potential role in the pathogenesis of MetS. The present study aimed to assess the association between 18 single nuc...
Cardiometabolic Risk Factors Metabolic Syndrome Iran Membrane Transport Proteins Apolipoprotein A-V Humans Machine Learning Female Male Genetic Predisposition to Disease Polymorphism, Single Nucleotide RNA-Binding Proteins
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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Cardiovascular diabetology Jan 29, 2021
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term ris...
Cardiometabolic Risk Factors Los Angeles Heart Diseases Adiposity Pericardium Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Registries Aged, 80 and over Non-alcoholic Fatty Liver Disease Male Middle Aged Risk Assessment Prognosis Prevalence Time Factors Tomography, X-Ray Computed Humans Deep Learning Metabolic Syndrome Female Prospective Studies Adipose Tissue Aged
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The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics.

International journal of environmental research and public health Dec 11, 2020
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations...
Life Style Neural Networks, Computer Female Aged Taiwan Humans Adult Area Under Curve Male Waist Circumference Middle Aged Social Class Mass Screening Metabolic Syndrome
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Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BMC endocrine disorders Nov 12, 2020
BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence and association with heart disease and diabetes. Artificial neural networks (ANN) are emerging as a reliable means of modelling relationships towards un...
Humans Predictive Value of Tests Neural Networks, Computer Sleep Apnea, Obstructive Adult Female Occupational Stress Male Risk Factors Follow-Up Studies Metabolic Syndrome
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