AIMC Topic: Metabolic Syndrome

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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...
Female Aged Adult Male Humans Neural Networks, Computer Area Under Curve Waist Circumference Social Class Life Style Middle Aged Mass Screening Metabolic Syndrome Taiwan
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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...
Female Occupational Stress Risk Factors Adult Male Humans Follow-Up Studies Neural Networks, Computer Metabolic Syndrome Predictive Value of Tests Sleep Apnea, Obstructive
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Machine Learning Models to Predict Childhood and Adolescent Obesity: A Review.

Nutrients Aug 16, 2020
The prevalence of childhood and adolescence overweight an obesity is raising at an alarming rate in many countries. This poses a serious threat to the current and near-future health systems, given the association of these conditions with different co...
Humans Prevalence Comorbidity Deep Learning Adolescent Forecasting Female Male Cardiovascular Diseases Metabolic Syndrome Models, Statistical Child Diabetes Mellitus, Type 2 Pediatric Obesity
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An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.

Genome medicine Jan 10, 2020
BACKGROUND: Modern medicine is rapidly moving towards a data-driven paradigm based on comprehensive multimodal health assessments. Integrated analysis of data from different modalities has the potential of uncovering novel biomarkers and disease sign...
Metabolome Microbiota Genome, Human Metabolic Syndrome Metabolomics Unsupervised Machine Learning Humans Biomarkers Adult Genomics
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Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers.

Scientific reports Jun 24, 2019
The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because metabolic syndrome, which is characterized by several disorders, such as hypertension, increases the risk of lifestyle-related diseases. One approach is...
Computational Biology Metabolic Syndrome Models, Biological Symptom Assessment Biomarkers Humans Animals Disease Progression Neural Networks, Computer Mice Phenotype
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Effect of combined vitamin D administration plus dietary intervention on oxidative stress markers in patients with metabolic syndrome: A pilot randomized study.

Clinical nutrition ESPEN Oct 24, 2018
BACKGROUND: Metabolic syndrome (MetS) patients can have low 25-hydroxyvitamin D 25(OH)VitD levels, which may be associated with increased oxidative stress. There is little data on the effect of 25(OH)VitD administration plus dietary intervention on o...
Aryldialkylphosphatase Oxidative Stress Metabolic Syndrome Adult Vitamin D Dietary Supplements Humans Carboxylic Ester Hydrolases Male Vitamin D Deficiency Lipoproteins, LDL Biomarkers Middle Aged Greece Combined Modality Therapy Female Pilot Projects Dinoprost
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Response to Re: Impact of metabolic syndrome on early recovery of continence after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association Feb 25, 2018
Metabolic Syndrome Robotics Prostate Prostatectomy Humans Male
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Re: Impact of metabolic syndrome on early recovery of continence after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association Feb 18, 2018
Humans Male Metabolic Syndrome Robotics Prostate Prostatectomy
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A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Scientific reports Feb 1, 2018
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screening is complicated by the fact that the accuracy of noninvasive testing lacks specificity and sensitivity to make and stage the diagnosis. Currently n...
Male Middle Aged Disease Progression Prevalence Canada Body Mass Index Humans Metabolic Syndrome Non-alcoholic Fatty Liver Disease Machine Learning Female Risk Factors Adult
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Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program.

International journal of medical informatics Dec 30, 2017
OBJECTIVES: Since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in strategies to improve implementation of the program based on predictive analytics has grown. We investigated the performance of...
Health Behavior Humans Early Intervention, Educational Machine Learning Adult Health Promotion Algorithms Male Metabolic Syndrome Middle Aged Retrospective Studies Japan Logistic Models Female Risk Factors Aged
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