Artificial intelligence and body composition

P Santhanam, T Nath, C Peng, H Bai, H Zhang… - Diabetes & Metabolic …, 2023 - Elsevier
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 …

[PDF][PDF] A review of the application of machine learning in adult obesity studies

M Alkhalaf, P Yu, J Shen, C Deng - Applied Computing and …, 2022 - aimspress.com
In obesity studies, several researchers have been applying machine learning tools to
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 …

Estimation of body fat percentage using hybrid machine learning algorithms

MK Uçar, Z Ucar, F Köksal, N Daldal - Measurement, 2021 - Elsevier
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 …

Using an improved relative error support vector machine for body fat prediction

R Chiong, Z Fan, Z Hu, F Chiong - Computer Methods and Programs in …, 2021 - Elsevier
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 …

Hybrid machine learning model for body fat percentage prediction based on support vector regression and emotional artificial neural networks

SA Hussain, N Cavus, B Sekeroglu - Applied Sciences, 2021 - mdpi.com
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) …

An efficient model for predicting setting time of cement based on broad learning system

J Guo, L Wang, K Fan, B Yang - Applied Soft Computing, 2020 - Elsevier
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 …

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 …

Determination of body fat percentage by electrocardiography signal with gender based artificial intelligence

MK Uçar, Z Ucar, K Uçar, M Akman… - … Signal Processing and …, 2021 - Elsevier
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 …

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 …