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Neural network based efficient knowledge discovery in hospital databases using RFID technology

In a smart hospital that uses RFID technology the location and status of the entities inside the hospital are continuously tracked and are captured into the hospital database. Such a database stores enormous amount of spatial as well as temporal data. Transforming this huge data into actionable information is highly complex. Knowledge discovery in such databases is highly desirable and can be applied to various security aspects such as trait and trend analysis. In this paper, the process of data mining in hospital databases is discussed using both BPN and ART and their performance comparison is established. The technique that suits this application more effectively is analyzed and suggested.