[HTML][HTML] A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to …
Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
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 …
Public health interventions against childhood obesity in China
China is confronted with the challenge of increasing childhood obesity. Although
interventions for childhood obesity have been developed, their effectiveness and …
interventions for childhood obesity have been developed, their effectiveness and …
Using natural language processing to analyse text data in behavioural science
Abstract Language is a uniquely human trait at the core of human interactions. The
language people use often reflects their personality, intentions and state of mind. With the …
language people use often reflects their personality, intentions and state of mind. With the …
A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
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 …
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 …
Systematic review of machine learning applied to the prediction of obesity and overweight
A Ferreras, S Sumalla-Cano, R Martínez-Licort… - Journal of medical …, 2023 - Springer
Obesity and overweight has increased in the last year and has become a pandemic disease,
the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and …
the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and …
Applications of artificial intelligence methodologies to behavioral and social sciences
Abstract Objectives Although Artificial Intelligence (AI) has been a part of the computer
science field for many decades, it has only recently been applied to different areas of …
science field for many decades, it has only recently been applied to different areas of …
Artificial intelligence and race: A systematic review
C Intahchomphoo, OE Gundersen - Legal Information Management, 2020 - cambridge.org
This paper examines peer-reviewed publications to learn about the relationships between
artificial intelligence (AI) and the human race. For this systematic review, papers were …
artificial intelligence (AI) and the human race. For this systematic review, papers were …