A survey on utilization of data mining for childhood obesity prediction

In this paper we present data mining and its utilization for childhood obesity prediction. Data mining was widely used in many childhood obesity prediction systems. Predicting obesity at an early age is both useful and important because the number of obese patients is increasing while its main cause cannot yet be defined. The ability to predict childhood obesity will help early prevention. The purpose of this survey is to provide the needed understanding of the childhood obesity problem, introduce the use of data mining on childhood obesity prediction, describe current efforts in the area, and provide the strength and weaknesses of each technique presented.