MACHINE LEARNING BASED DIABETES DISEASE PREDICTION

Abstract

Machine Learning is a field of computer science to let computers learn like human beings. It is a set of algorithms through which we want computers to learn and take decisions like us. We want computers to learn from the past data, build a model for learnt concepts and use that model for future predictions. Machine Learning is being used for the predictions in every field of real world applications. From business to education, entertainment to healthcare, the diverse algorithms of Machine Learning are improving accuracies of real world applications significantly.  Even though Machine Learning has been proven to be acceptably accurate, it is still challenging to use it for critical applications such as for health care where inaccurate results may cause severe negative impact. Designing Machine Learning based solution is indeed a very challenging task if developed model is going to be used for patients. This paper presents progress of Machine Learning based Diabetes Disease Prediction along with result analysis of our implementation with Orange tool.