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 …
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 …
An Intelligent handcrafted feature selection using Archimedes optimization algorithm for facial analysis
I Neggaz, H Fizazi - Soft Computing, 2022 - Springer
Human facial analysis (HFA) has recently become an attractive topic for computer vision
research due to technological progress and mobile applications. HFA explores several …
research due to technological progress and mobile applications. HFA explores several …
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 …
A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence
Background and Purpose Chronic obstructive pulmonary disease (COPD), is a primary
public health issue globally and in our country, which continues to increase due to poor …
public health issue globally and in our country, which continues to increase due to poor …
Machine Learning and Electrocardiography Signal‐Based Minimum Calculation Time Detection for Blood Pressure Detection
Objective. Measurement and monitoring of blood pressure are of great importance for
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …
The Relationship between Body Composition and ECG Ventricular Activity in Young Adults
EI Iconaru, C Ciucurel - … Journal of Environmental Research and Public …, 2022 - mdpi.com
This study aimed to determine the correlation between body composition (measured as
weight, body mass index, and body fat percentage (BFP)) and electrocardiographic …
weight, body mass index, and body fat percentage (BFP)) and electrocardiographic …
Beslenme ve Diyetetik Uygulamalarında Yapay Zeka
İ Ülker, A Çamli - Beslenme ve Diyet Dergisi, 2023 - beslenmevediyetdergisi.org
Özet Yapay zeka, düşünce süreçlerini, öğrenme yeteneklerini ve bilgi yönetimini taklit etme
özelliklerine sahip olan bilgisayar biliminin bir dalıdır. Yapay zeka uygulamaları, deneysel …
özelliklerine sahip olan bilgisayar biliminin bir dalıdır. Yapay zeka uygulamaları, deneysel …
Temporal Heart Rhythm Clusters and Physiomorphic Age Mapping: A Deep Learning Approach to Cardiovascular Risk Stratification
Purpose: Understanding the intricate relationships between sleep quality and
cardiovascular outcomes can potentially offer new avenues in risk stratification for …
cardiovascular outcomes can potentially offer new avenues in risk stratification for …
Check for updates Artificial Intelligence Based Estimation of Individuals' Daily Energy Requirements with Anthropometric Measurements
Energy must be taken regularly for the body to continue its life healthily. Age, gender,
physical activity, height, and weight determine the energy required to sustain life. There are …
physical activity, height, and weight determine the energy required to sustain life. There are …