Abstract
Laboratory blood test is the term of abnormalities examination in human blood. DHF (Dengue Hemorrhagic Fever) disease and TF (Typhoid Fever) are both will cause a fever, to be sure the patient should perform blood tests. Data source used in this research came from the hospital medical record which recorded patient's laboratory blood test results. Recapitulation of the laboratory blood test results can be analyzed using association rule mining (ARM). ARM Data analysis result found that DHF patient have 100% abnormalities in platelet values while TF patients have 82.43% found positive on widal test and 18.92% on abnormal pulse. Performed dimensional reduction on dataset by using IST-EFP algorithm. ARM uses reduced dataset generated by IST-EFP algorithm will still have a meaning that does not change as they should.
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