Medical decision support system for the missing data using data mining - A survey

This paper presents a novel framework for a decision support system that integrates knowledge-based and learning-based systems to provide a robust solution to the information challenge in the presence of partial information. It is suitable for many different healthcare settings and many different users, including physicians, nurses, and other medical staff. Because the framework is query-based, it can be adapted for use with many different end-user interfaces including desktop applications, Web-based browser applications and mobile applications. In this work, we discuss a survey of proposed framework and a concrete implementation design to assist in clinical decisions regarding the prescription of sleeping aids. In addition we incorporate horizontal aggregations in SQL to prepare datasets for Data Mining analysis and Machine Learning based methodology for building an application that is capable of identifying and disseminating healthcare information.