AIMC Topic: Waist Circumference
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The Association of Waist Circumference with the Prevalence and Survival of Digestive Tract Cancer in US Adults: A Population Study Based on Machine Learning Methods.
Computational and mathematical methods in medicine
Oct 6, 2022
AIMS: This paper aims to investigate the relationship of waist circumference (WC) with digestive tract cancer morbidity and mortality.
Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults.
International journal of environmental research and public health
Aug 12, 2021
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VOmax) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VOmax estimation, 118 healthy Korean adults (59 men and 59 w...
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...
Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.
Journal of diabetes research
Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Alcohol Drinking
Medically Underserved Area
Asian People
Waist Circumference
Smoking
Odds Ratio
Middle Aged
China
Surveys and Questionnaires
Diabetes Mellitus, Type 2
Logistic Models
Decision Making
Regression Analysis
Decision Trees
Area Under Curve
Female
Risk Factors
Aged
Adult
Male
Humans
Machine Learning
Algorithms
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...
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...
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...
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. ...
Deep Learning
Surveys and Questionnaires
User-Computer Interface
Decision Support Systems, Clinical
Diabetes Mellitus, Type 2
Body Mass Index
Body Weight
Probability
Waist Circumference
Neural Networks, Computer
Artificial Intelligence
Female
Male
Middle Aged
Humans
Body Height
Speech Recognition Software
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...
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.
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