Diabetes mellitus prediction system evaluation using C4.5 rules and partial tree

Diabetes disease prediction is a progressive area of research in the healthcare Sector. Although many data mining techniques have been employed to assess the main causes of diabetes, but only few sets of clinical risk factors are considered. Due to this, some important factors like pre-diabetes health conditions are not considered in their analysis. So the results produced by such techniques may not represent appropriate diabetes pattern and risk factors appropriately.