A Review of Data Mining Schemes for Prediction of Diabetes Mellitus and Correlated Ailments

In this era of multi-disciplinary research there has been a leading domain coming forth. This is none other than a blend of medical sciences and computing technologies. So far as medical science is concerned, the most prominently focused area of research is on diabetes mellitus (DM). In the field of computing, the prominent research area is data mining. In the last decade, researchers have proposed handful of techniques that involves certain mining approaches onto diabetes. As of now, works have been presented on prediction of occurrence of diabetes, probability of occurrence, co-existence of related diseases, and several other aspects. These works have been proved to be boons by providing early diagnosis aids for the medical experts. In this paper, a detail survey has been presented on several such works which involve applications of data mining and machine learning especially for the diabetes and its related diseases. Comparative analysis of selected works has also been made and suitable recommendations are provided thereby.