[HTML][HTML] 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 …
[HTML][HTML] Machine learning techniques for prediction of early childhood obesity
TM Dugan, S Mukhopadhyay, A Carroll… - Applied clinical …, 2015 - thieme-connect.com
Objectives: This paper aims to predict childhood obesity after age two, using only data
collected prior to the second birthday by a clinical decision support system called CHICA …
collected prior to the second birthday by a clinical decision support system called CHICA …
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 …
Machine learning approach for the early prediction of the risk of overweight and obesity in young people
Obesity is a major global concern with more than 2.1 billion people overweight or obese
worldwide which amounts to almost 30% of the global population. If the current trend …
worldwide which amounts to almost 30% of the global population. If the current trend …
[HTML][HTML] Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques
H Marcos-Pasero, G Colmenarejo, E Aguilar-Aguilar… - Scientific Reports, 2021 - nature.com
The increased prevalence of childhood obesity is expected to translate in the near future into
a concomitant soaring of multiple cardio-metabolic diseases. Obesity has a complex …
a concomitant soaring of multiple cardio-metabolic diseases. Obesity has a complex …
[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 machine learning approach for predicting weight gain risks in young adults
Individuals developing signs of weight gain or obesity are at a risk of developing serious
illnesses such as type 2 diabetes, respiratory problems, coronary heart disease and stroke …
illnesses such as type 2 diabetes, respiratory problems, coronary heart disease and stroke …
Comparison of artificial neural networks with logistic regression for detection of obesity
Obesity is a common problem in nutrition, both in the developed and developing countries.
The aim of this study was to classify obesity by artificial neural networks and logistic …
The aim of this study was to classify obesity by artificial neural networks and logistic …
Obesity prediction using machine learning techniques
F Musa, F Basaky, EO Osaghae - Journal of Applied Artificial …, 2022 - sabapub.com
Currently, safeguarding the community is vital in terms of finding solution to health related
problems which can be achieved through medical research using the advent of technology …
problems which can be achieved through medical research using the advent of technology …
Obesity level estimation based on machine learning methods and artificial neural networks
Obesity is a growing societal and public health problem starting from 1980 that needs more
attention. For this reason, new studies are emerging day by day, including those looking for …
attention. For this reason, new studies are emerging day by day, including those looking for …