Developing the Obesity Dietary Control Systems Using Machine Learning Technique Initiative

Abstract

One of the primary treatments for this serious health risk includes diets, physical activity, and weight-loss training. As such, a reliable mechanism to prevent and control the obesity levels is vital. This paper aims to present an initiative of the process for developing an obesity dietary control system. The research method included a literature survey which covers reviewing sources such as journal articles, conference papers, and books. Resulting from the review, some information on the weakness of the existing system was found. Resulting from the previous studies, it was found that managing the lifestyle of obese people by controlling their daily diet to get the ideal body gave uncertain results. This new initiative to develop such systems may be based on a machine learning technique, which could classify and predict the nutrients consumed by obese people. The significance of this study may lead many experts and researchers, who are interested, to explore more solutions that help to combat the obesity phenomenon. As for the future study, we will emphasize the development of a software tool which can provide guidelines with an appropriate technique, to support obese people in controlling their daily diet and activities.