Temporal Pattern Mining for Medical Applications

Due to the increased availability of information systems in hospitals and health care institutions, there has been a huge production of electronic medical data, which often contains time information. Temporal data mining aims at finding interesting correlations or sequential patterns in sets of temporal data and has recently been applied in the medical context. The purpose of this paper is to describe the most popular temporal data mining algorithms and to present an overview of their applications in different medical domains.