Data mining in healthcare and predicting obesity

Abstract

Humanity has been in the pursuit of lengthening its lifespan for centuries. Healthcare provides many solutions to illnesses, injuries, and data mining, which provides useful patterns in data, is being actively used in healthcare sectors for the betterment of services provided by healthcare institutions. Obesity is a major issue in the current world and is a known cause of a multitude of other health problems. Data mining is a rapidly growing field with many applications in the field of healthcare. One of its many uses is the prediction of diseases. In this paper, we use classification, a data mining technique, to predict obesity in patients. We compare several classification techniques, such as random forest generation, decision trees, and neural net, to find the most accurate technique.