AIMC Topic: Waist Circumference

Clear Filters Showing 11 to 20 of 25 articles

Importance of general adiposity, visceral adiposity and vital signs in predicting blood biomarkers using machine learning.

International journal of clinical practice Aug 26, 2020
INTRODUCTION: Blood biomarkers are measured for their ability to characterise physiological and disease states. Much is known about linear relations between blood biomarker concentrations and individual vital signs or adiposity indexes (eg, BMI). Com...
Risk Factors Cross-Sectional Studies Body Mass Index Blood Pressure Waist Circumference Adiposity Machine Learning Biomarkers
View on PubMed DOI

SVM-based waist circumference estimation using Kinect.

Computer methods and programs in biomedicine Feb 24, 2020
BACKGROUND AND OBJECTIVE: Conventional anthropometric studies using Kinect depth sensors have concentrated on estimating the distances between two points such as height. This paper deals with a novel waist measurement method using SVM regression, fur...
Humans Female Male Body Mass Index Support Vector Machine Obesity Japan Waist Circumference Anthropometry
View on PubMed DOI

Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

PLoS biology Oct 18, 2019
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on...
Lipidomics Waist-Hip Ratio Finland Body Fat Distribution Biomarkers Sphingomyelins Female Male Cohort Studies Body Mass Index Humans Obesity Machine Learning Models, Statistical Adipose Tissue Lipid Metabolism Sex Factors Waist Circumference
View on PubMed DOI

The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence in medicine Aug 21, 2019
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. ...
Artificial Intelligence Female Male Middle Aged Deep Learning Surveys and Questionnaires Humans Neural Networks, Computer User-Computer Interface Probability Decision Support Systems, Clinical Waist Circumference Diabetes Mellitus, Type 2 Body Height Body Mass Index Speech Recognition Software Body Weight
View on PubMed DOI

Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.

Diabetes technology & therapeutics Apr 10, 2019
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...
United States Body Mass Index Cluster Analysis Lipids Waist Circumference Metabolic Diseases Male Cardiovascular Diseases Middle Aged Risk Assessment Adolescent Smoking Alcohol Drinking Life Style Humans Machine Learning Algorithms Female Risk Factors Aged Aged, 80 and over Young Adult Adult
View on PubMed DOI

Diagnostic performance of an artificial neural network to predict excess body fat in children.

Pediatric obesity Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
Waist Circumference Absorptiometry, Photon Pediatric Obesity Body Mass Index Adipose Tissue Self Concept Body Weight Sensitivity and Specificity Male Adolescent Child Nutrition Surveys Humans Neural Networks, Computer Female Young Adult
View on PubMed DOI

High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.

Diabetes & metabolic syndrome Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Body Mass Index Transients and Migrants Male Humans Turkey Diabetic Angiopathies Middle Aged Phenotype Waist Circumference Case-Control Studies Insulin-Secreting Cells Female Dyslipidemias Blood Glucose Aged Socioeconomic Factors Cross-Sectional Studies
View on PubMed DOI

Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

Epidemiology and health Mar 10, 2018
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model.
Diabetes Mellitus, Type 2 Mass Screening Models, Statistical Glycated Hemoglobin Iran Female Waist Circumference Risk Factors Age Distribution Humans Adult Neural Networks, Computer Male Middle Aged Risk Assessment
View on PubMed DOI

Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

PloS one Oct 11, 2016
Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in ...
Incidence Diabetes Mellitus, Type 2 Models, Theoretical Follow-Up Studies C-Reactive Protein Glycated Hemoglobin Leptin Waist Circumference Cholesterol, HDL Anthropometry Adiponectin Female Aged Adult Male Middle Aged Blood Glucose Humans Machine Learning Biomarkers Triglycerides Black or African American Demography
View on PubMed DOI

Serum 25-hydroxyvitamin D and metabolic syndrome in a Japanese working population: The Furukawa Nutrition and Health Study.

Nutrition (Burbank, Los Angeles County, Calif.) Mar 16, 2016
OBJECTIVE: Increasing evidence has suggested a protective role of vitamin D on metabolic syndrome (MetS). However, studies addressing this issue are limited in Asia and it remains unclear whether calcium could modify the association. We examined the ...
Calcium, Dietary Multilevel Analysis Exercise Prevalence Asian People Vitamin D Young Adult Adolescent Humans Vitamin D Deficiency Japan Blood Glucose Adult Female Metabolic Syndrome Waist Circumference Logistic Models Cross-Sectional Studies Blood Pressure Nutritional Status Body Mass Index Risk Factors Male Multivariate Analysis Cholesterol Aged Middle Aged Triglycerides
View on PubMed DOI
Popular Topics
Recent Journals