Machine learning models to predict childhood and adolescent obesity: a review
G Colmenarejo - Nutrients, 2020 - mdpi.com
The prevalence of childhood and adolescence overweight an obesity is raising at an
alarming rate in many countries. This poses a serious threat to the current and near-future …
alarming rate in many countries. This poses a serious threat to the current and near-future …
Prediction models for children/adolescents with obesity/overweight: A systematic review and meta-analysis
H Gou, H Song, Z Tian, Y Liu - Preventive Medicine, 2024 - Elsevier
The incidence of obesity and overweight in children and adolescents is increasing
worldwide and becomes a global health concern. This study aims to evaluate the accuracy …
worldwide and becomes a global health concern. This study aims to evaluate the accuracy …
Sentiment analysis technique and neutrosophic set theory for mining and ranking big data from online reviews
I Awajan, M Mohamad, A Al-Quran - IEEE Access, 2021 - ieeexplore.ieee.org
Recently, a huge amount of online consumer reviews (OCRs) is being generated through
social media, web contents, and microblogs. This scale of big data cannot be handled by …
social media, web contents, and microblogs. This scale of big data cannot be handled by …
PISIoT: A machine learning and IoT-based smart health platform for overweight and obesity control
I Machorro-Cano, G Alor-Hernández… - Applied Sciences, 2019 - mdpi.com
Overweight and obesity are affecting productivity and quality of life worldwide. The Internet
of Things (IoT) makes it possible to interconnect, detect, identify, and process data between …
of Things (IoT) makes it possible to interconnect, detect, identify, and process data between …
Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature
Background Digital health interventions based on tools for Computerized Decision Support
(CDS) and Machine Learning (ML), which take advantage of new information, sensing and …
(CDS) and Machine Learning (ML), which take advantage of new information, sensing and …
Random forest ensemble machine learning model for early detection and prediction of weight category
SI Ayua - Journal of Data Science and Intelligent Systems, 2024 - ojs.bonviewpress.com
The number of insurgents in our nation today is significantly rising each day, and the
majority of those affected are living as internally displaced persons (IDP) in various IDP …
majority of those affected are living as internally displaced persons (IDP) in various IDP …
Identifying key determinants of childhood obesity: a narrative review of machine learning studies
Machine learning is a class of algorithms able to handle a large number of predictors with
potentially nonlinear relationships. By applying machine learning to obesity, researchers …
potentially nonlinear relationships. By applying machine learning to obesity, researchers …
[HTML][HTML] Estimation of obesity levels based on computational intelligence
RC Cervantes, UM Palacio - Informatics in Medicine Unlocked, 2020 - Elsevier
Obesity is a worldwide disease that affects people of all ages and gender; in consequence,
researchers have made great efforts to identify factors that cause it early. In this study, an …
researchers have made great efforts to identify factors that cause it early. In this study, an …
A survey on machine and deep learning models for childhood and adolescent obesity
Childhood and adolescent obesity is a serious health problem that is on the rise at the
global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and …
global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and …
The key artificial intelligence technologies in early childhood education: a review
Artificial Intelligence (AI) technologies have been applied in various domains, including
early childhood education (ECE). Integration of AI educational technology is a recent …
early childhood education (ECE). Integration of AI educational technology is a recent …