Mining Medical Databases Using Graph based Association Rules
Wael Ahmad AlZoubi · International Journal of Machine Learning and Computing · 2013
Medical databases have accumulated huge amounts of information about patients and their medical conditions.Relationships and patterns within these data can provide new medical knowledge.Sorry to say that few methodologies have been developed and applied to discover this hidden knowledge.In this paper, the graph bases association rules mining (data mining is the main part of Knowledge Discovery in Databases) is used to search for relationships in a large medical database.The data that was collected on 6549 obstetrical patients were evaluated for factors potentially contributing to preterm birth using exploratory factor analysis.This paper describes the processes involved in mining a medical database including data warehousing, data query and cleaning, and data analysis.