AIMC Topic: Metabolic Syndrome
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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...
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...
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...
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...
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
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
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...
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...
Regional arterial stiffness in central and peripheral arteries is differentially related to endothelial dysfunction assessed by brachial flow-mediated dilation in metabolic syndrome.
Diabetes & vascular disease research
Dec 28, 2017
The interrelationship between endothelial function and arterial stiffness may be different for central and peripheral arteries due to their structural and functional differences. The study aims to assess the interrelationship between central and peri...
Low serum uric acid concentration augments insulin effects on the prevalence of metabolic syndrome.
Diabetes & metabolic syndrome
Dec 22, 2017
AIM: Insulin and uric acid were shown affect the prevalence of Metabolic Syndrome (MetS), but no studies examine their interaction. Therefore, we conducted this study to determine their biological interaction in subjects from central Mexico.
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