Finding Family Relationship in Hospital Database Using Intelligent Agent

Abstract

For the last few decades almost all hospitals have been keeping patient data in computerized database systems. One of the current problems in hospital databases is finding family hierarchy. Finding such family relationships by human operators is possible, but it can be a tedious and time consuming task when the database is extremely large. This study focuses on the appropriate data mining techniques that can be used in support of an intelligent agent in a hypothetical hospital database. A model for evaluating the genetic relationship in hospital databases with uncertainty using Hugin API will be discussed.