Discovering Sequential Disease Patterns in MedicalDatabases Using FreeSpan Mining Approach
Oviliani Yenty Yuliana, Silvia Rostianingsih, Gregorius Satia Budhi · 2009
In this work we employ FreeSpan, one of the sequential pattern mining methods, to discover sequential disease patterns in sequential database. For our study, we use a medical database which was built as a transactional database. There is a different representation data with sequential database that will be used as an input for FreeSpan method. Therefore, we build sequential database from medical databases. The generated patterns are used as knowledge to predict the sequential disease. Therefore, the medical representative can take preventive and curative actions more precise. To make the sequential disease patterns easily to understand, we visualize the pattern using graph.