AIMC Topic: Body Mass Index
Clear Filters Showing 131 to 140 of 244 articles
Effects of obesity on breast size, thoracic spine structure and function, upper torso musculoskeletal pain and physical activity in women.
Journal of sport and health science
May 9, 2019
PURPOSE: This study investigated the effects of obesity on breast size, thoracic spine structure and function, upper torso musculoskeletal pain and physical activity participation in women living independently in the community.
Assessment of pressure pain thresholds in collisions with collaborative robots.
PloS one
May 2, 2019
In recent years, safety issues surrounding robots have increased in importance, as more robots are in close contact with humans, both in industrial fields and elsewhere. Safety standards for industrial robots operating in specific spaces have been es...
Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.
Journal of Korean medical science
Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Predicting childhood obesity using electronic health records and publicly available data.
PloS one
Apr 22, 2019
BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities, and the difficulty in decreasing body mass index (BMI) later in life, effective strategies are needed to address this condition in early childhood. ...
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...
Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.
Osteoarthritis and cartilage
Feb 28, 2019
OBJECTIVE: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10 years period.
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.
A neural network analysis of Lifeways cross-generation imputed data.
BMC research notes
Dec 14, 2018
OBJECTIVES: Neural networks are a powerful statistical tool that use nonlinear regression type models to obtain predictions. Their use in the Lifeways cross-generation study that examined body mass index (BMI) of children, among other measures, is ex...
Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.
Food research international (Ottawa, Ont.)
Dec 5, 2018
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of body fat storage, and a link between diet, FFA and the intestinal microbiota seems to exist. Our ai...
A reliable method for colorectal cancer prediction based on feature selection and support vector machine.
Medical & biological engineering & computing
Nov 26, 2018
Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths per year worldwide. Thus, it is very important to find the related factors and detect the cancer accurately. However, timely and accurate prediction of the diseas...
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