One of the difficulties of artificial intelligence is to ensure that model decisions are fair and
free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and …

Regression analysis makes up a large part of supervised machine learning, and consists of
the prediction of a continuous independent target from a set of other predictor variables. The …

One of the difficulties of artificial intelligence is to ensure that model decisions are fair and
free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and …

This paper presents data for the estimation of obesity levels in individuals from the countries
of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data …

Background: Obesity, which causes physical and mental problems, is a global health
problem with serious consequences. The prevalence of obesity is increasing steadily, and …

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 …

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 …

(1) Background: Artificial intelligence using machine learning techniques may help us to
predict and prevent obesity. The aim was to design an interpretable prediction algorithm for …

Overweight and obesity are considered a public health problem, as they are related to the
risk of various diseases, and also to the risk of increased morbidity and mortality. The main …

Precision medicine applies machine learning methods to estimate the personalized optimal
treatment decision based on individual information, such as genetic data and medical …