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 …

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 …

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 …

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 …

A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence

E Melekoglu, U Kocabicak, MK Uçar, C Bilgin… - PeerJ Computer …, 2022 - peerj.com
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 …

Machine Learning and Electrocardiography Signal‐Based Minimum Calculation Time Detection for Blood Pressure Detection

M Nour, D Kandaz, MK Ucar, K Polat… - … Methods in Medicine, 2022 - Wiley Online Library
Objective. Measurement and monitoring of blood pressure are of great importance for
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 …

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 …

Temporal Heart Rhythm Clusters and Physiomorphic Age Mapping: A Deep Learning Approach to Cardiovascular Risk Stratification

G Manimaran, S Puthusserypady, H Dominguez… - medRxiv, 2024 - medrxiv.org
Purpose: Understanding the intricate relationships between sleep quality and
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

Z Ucar, B Çiçek - Innovative Methods in Computer Science and …, 2024 - books.google.com
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 …