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Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach

Yuliana, Oviliani Yenty and Rostianingsih, Silvia and Satiabudhi, Gregorius (2009) Discovering Sequential Disease Patterns in Medical Databases Using FreeSpan Mining Approach. In: The International Conference on Advanced Computer Science and Information Systems 2009, 07-12-2009 - 08-12-2009, Jakarta - .

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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: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: freespan, sequential, medical
    Subjects: Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Industrial Technology > Informatics Engineering Department
    Depositing User: Admin
    Date Deposited: 11 Feb 2015 18:44
    Last Modified: 11 Feb 2015 22:53
    URI: http://repository.petra.ac.id/id/eprint/16956

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