Aims: The prevalence of diabetic nephropathy and its risk factors have not been studied in a society known to have diabetes epidemic like Saudi Arabia. Using a large data base registry will provide a better understanding and accurate assessment of this chronic complication and its related risk factors.

Diabetes Mellitus (DM) is the most common metabolic disorder. In developing countries, the prevalence of diabetes is increasing. It is important that every country should assess the magnitude of the problem and take steps to control and prevent DM and provide appropriate care. Despite all the advances in diabetes treatment, education remains the cornerstone of diabetes management. Diabetes education classes are useful for providing general information to be tailored to the specific needs of each patient. The web-based method seems to be effective in the continuing education.

The availability of massive amounts of experimental data based on genome-wide association and mass spectroscopy studies have given motivation in recent years to a large effort in developing mathematical, statistical and computational techniques to infer biological models from data. In many bioinformatics problems the number of features is significantly larger than the number of samples (high feature to sample ratio data sets) and feature selection techniques have become an apparent need in many bioinformatics applications.