Artificial intelligence and body composition
Aims Although obesity is associated with chronic disease, a large section of the population
with high BMI does not have an increased risk of metabolic disease. Increased visceral …
with high BMI does not have an increased risk of metabolic disease. Increased visceral …
[PDF][PDF] A review of the application of machine learning in adult obesity studies
In obesity studies, several researchers have been applying machine learning tools to
identify factors affecting human body weight. However, a proper review of strength …
identify factors affecting human body weight. However, a proper review of strength …
Predicting body fat using a novel fuzzy-weighted approach optimized by the whale optimization algorithm
Z Fan, J Gou - Expert Systems with Applications, 2023 - Elsevier
Obesity, termed as excessive body fat, is a major public health problem. Being able to
accurately predict body fat percentage provides an opportunity for making appropriate …
accurately predict body fat percentage provides an opportunity for making appropriate …
Estimation of body fat percentage using hybrid machine learning algorithms
Before obesity treatment, body fat percentage (BFP) should be determined. BFP cannot be
measured by weighing. The devices developed to produce solutions to this problem are …
measured by weighing. The devices developed to produce solutions to this problem are …
Using an improved relative error support vector machine for body fat prediction
Abstract Background and Objective: The term 'obesity'refers to excessive body fat, and it is a
chronic disease associated with various complications. Although a range of techniques for …
chronic disease associated with various complications. Although a range of techniques for …
Hybrid machine learning model for body fat percentage prediction based on support vector regression and emotional artificial neural networks
Obesity or excessive body fat causes multiple health problems and diseases. However,
obesity treatment and control need an accurate determination of body fat percentage (BFP) …
obesity treatment and control need an accurate determination of body fat percentage (BFP) …
An efficient model for predicting setting time of cement based on broad learning system
Cement is the main building material in the construction industry. Its setting time directly
affects the setting time and strength of concrete, which further affects construction schedule …
affects the setting time and strength of concrete, which further affects construction schedule …
Sex-based approach to estimate human body fat percentage from 2d camera images with deep learning and machine learning
SSA Alves, EF Ohata, PCS Junior, CB Barroso… - Measurement, 2023 - Elsevier
Obesity is one of the most concerning nutritional issues since it is a significant risk factor for
chronic diseases, including cardiovascular disease and diabetes. Many dietary disorders …
chronic diseases, including cardiovascular disease and diabetes. Many dietary disorders …
Determination of body fat percentage by electrocardiography signal with gender based artificial intelligence
Background and purpose Body fat percentage (BFP) is a frequently used parameter in the
assessment of body composition. The body is made up of fat, muscle and lean body tissues …
assessment of body composition. The body is made up of fat, muscle and lean body tissues …
Information fusion via symbolic regression: A tutorial in the context of human health
JJ Schnur, NV Chawla - Information Fusion, 2023 - Elsevier
This tutorial paper provides a general overview of symbolic regression (SR) with specific
focus on standards of interpretability. We posit that interpretable modeling, although its …
focus on standards of interpretability. We posit that interpretable modeling, although its …