Penerapan Algoritma C4.5 untuk Klasifikasi Data Rekam Medis berdasarkan International Classification Diseases (ICD-10)

摘要: Abstract The medical record data is the patient's current of records, only being stacked and not traced to generate useful knowledge for hospital. This study can process classify disease that occurs in sleeping sickness based on  ICD-10. The method used this research C4.5 algorithm by using attribute international code as destination label many 21 group, is: A00-B99 up Z00-Z99. yields a decision value code, represent 14 values ​​of objectives percentage read more than 66%. conclusion help ICD-10 tree making which give information any often happened at hospital  Keywords: mining, classification, C4.5,