DISCOVERING SEQUENTIAL DISEASE PATTERNS IN MEDICAL DATABASES USING FREESPAN MINING AND udPREFIKSPAN MINING APPROACHud

摘要

Dr. Soetomo General Hospital had computerized their system to stored inpatient’s history. With lots of data to beudanalysis, one of the needs is a decision support system in order to anticipate the spread of the disease. Therefore theudhospital need a system to provide the sequential pattern of disease. One of the sequential pattern mining algorithm isudpattern growth based approach. The result is sequential pattern of disease from particular area in a time period based onudinpatient’s history. Input from user are time period, minimum support, province, and multi-dimensional. The system builtudwith Java Net Beans 6.7 and Oracle 10g. This research showed that FreeSpan and PrefikSpan produce the same output.udHowever, FreeSpan is more appropriate for dr. Soetomo General Hospital because the proccesing time is faster.