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Medical Decision Support System for the missing data using Data mining

Medical Decision Support System (MDSS) maps the patient information in to the promising diagnostic and treatment paths. This paper presents a novel framework for a medical decision support system that integrates knowledge-based and learning-based systems to provide a robust solution to the medical information challenge in the presence of partial information. It is suitable for healthcare professionals like Doctors, nurses, and other medical staff. It can be adapted for use with many different end-user interfaces including desktop applications, web-based browser applications, and mobile applications. In this paper, we discuss a concrete design and implementation of the Integrated Medical Decision Support System to assist in clinical decisions regarding the prescription of drugs. In addition we incorporate horizontal aggregations in SQL to prepare datasets for Data mining analysis.