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[HTML][HTML] Machine learning models to predict childhood and adolescent obesity: a review
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 …
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 …
Predicting obesity in adults using machine learning techniques: an analysis of Indonesian basic health research 2018
Obesity is strongly associated with multiple risk factors. It is significantly contributing to an
increased risk of chronic disease morbidity and mortality worldwide. There are various …
increased risk of chronic disease morbidity and mortality worldwide. There are various …
Machine learning techniques for prediction of early childhood obesity
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 …
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 …
A survey on data mining techniques used in medicine
Data mining is the process of analyzing a massive amount of data to identify meaningful
patterns and detect relations, which can lead to future trend prediction and appropriate …
patterns and detect relations, which can lead to future trend prediction and appropriate …
[PDF][PDF] Op-RMSprop (optimized-root mean square propagation) classification for prediction of polycystic ovary syndrome (PCOS) using hybrid machine learning …
Polycystic Ovary Syndrome is a common women's health problem caused by the imbalance
in the reproductive hormones which causes problems in the ovaries. An appropriate …
in the reproductive hormones which causes problems in the ovaries. An appropriate …
A machine learning approach for predicting weight gain risks in young adults
Individuals develo** signs of weight gain or obesity are at a risk of develo** 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 …
Application of machine learning techniques to predict teenage obesity using earlier childhood measurements from millennium cohort study
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 …
[PDF][PDF] Conceptual Framework Based On Type-2 Fuzzy Logic Theory for Predicting Childhood Obesity Risk.
Obesity is a critical public health concern affecting a wide range of people globally. The rise
in obesity is limited to not only the wealthiest countries but also the poorest. Childhood …
in obesity is limited to not only the wealthiest countries but also the poorest. Childhood …