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Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach

Yuliana, Oviliani Yenty and Rostianingsih, Silvia and Budhi, Gregorius Satia (2009) Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach. International Conference on Advance Computer Science and Information System 2009.

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    Abstract

    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.

    Item Type: Article
    Subjects: R Medicine > R Medicine (General)
    T Technology > T Technology (General)
    Divisions: Faculty of Industrial Technology > Informatics Engineering Department
    Depositing User: Gregorius Satiabudhi
    Date Deposited: 24 Aug 2011 11:20
    Last Modified: 24 Aug 2011 11:20
    URI: http://repository.petra.ac.id/id/eprint/15088

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