Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach
| Main Authors: | Yuliana, Oviliani Yenty, Rostianingsih, Silvia, Satiabudhi, Gregorius |
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| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
, 2009
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| Subjects: | |
| Online Access: |
https://repository.petra.ac.id/16956/1/Publikasi1_01043_1908.pdf https://repository.petra.ac.id/16956/ |
Daftar Isi:
- 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.