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 …

In obesity studies, several researchers have been applying machine learning tools to
identify factors affecting human body weight. However, a proper review of strength …

This research paper explores the application of machine learning techniques in predicting
obesity trends through big data analytics (BDA). Obesity has become a global health …

Obesity affects individuals of all gender and ages worldwide; consequently, several studies
have performed great works to define factors causing it. This study develops an effective …

Machine learning algorithms are used for building classifier models. The rule-based
decision tree classifiers are popular ones. However, the performance of the decision tree …

Sarcopenia and frailty have been associated with low aging population capacities for
exercise and high metabolic instability. To date, the current models merely support one …

This paper proposed an approach for obesity levels classification. The main contribution of
this work is the use of boosting and bagging techniques in the decision tree (DT) and naïve …

Obesity is becoming an epidemic globally as it has been closely linked with a wide variety of
chronic diseases. The identification of associated factors for obesity occurrences is still the …

Obesity is the excess body weight relative to the height above the desired level due to an
excessive increase in body fat to lean mass. It causes many health problems due to its …

In the current age of technology, software is greatly influencing the way of human living. This
effect is not limited to one sector, but present in all sectors. This effect became more acute …