Penerapan Algoritma C4.5 untuk Klasifikasi Data Rekam Medis berdasarkan International Classification Diseases (ICD-10)
Abstract
Abstract
The medical record data is the patient's current record of medical records, the medical record data only being data stacked and not traced to generate useful knowledge for the hospital. This study can process the medical record data to classify the disease that occurs in sleeping sickness based on ICD-10. The method used in this research is C4.5 algorithm method by using attribute of international disease code as attribute of destination label as many as 21 international disease group, that is: A00-B99 up to Z00-Z99. This study yields a decision of the value code, C4.5 code can represent as many as 14 attribute values ​​of disease code objectives and data percentage that read more than 66%. The conclusion of this research is C4.5 algorithm help classify international disease code based on ICD-10 and decision tree making which can give information of any disease that often happened at hospital
Keywords: data mining, classification, C4.5, medical records, ICD-10
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References
[2] Priyadharsini, C., 2014. An Overview of Knowledge Discovery Database and Data mining Techniques. International Journal of Innovative Research in Computer and Communication Engineering, Vol.2 (Special Issue 1), pp.1571-1572
[3] Veenita K., 2016. Chronic Kidney Disease Analysis Using Data Mining Classification Techniques. IEEE, pp.300-305
[4] Harvinder C. and Anu C., 2013. Implementation of decision tree C4.5 algorithm. International Journal of Scientific and Research Publications, Vol. 3(10)
[5] Chauhan H. and Chauhan A., 2013. Implementation of decision tree C4.5 algorithm. International Journal of Scientific and Research Publications, Vol. 3(Issue 10)
[6] Wenefrida, T.I., 2013. Klasifikasi Data Rekam Medis Berdasarkan Kode Penyakit Internasional Menggunakan Algoritma C4.5. Jurnal Media Elektro, Vol.1(3), pp.105
[7] Yulia, E.K., Adhistya E.P., Silmi F., 2016. Comparative Study on Data Mining Classification Methods for Cervical Cancer Prediction Using Pap Smear Results. 1st International Conference on Biomedical Engineering (IBIOMED), pp.1
[8] Sucipto, Kusrini, Emha L.T., 2016. Classification Method of Multi-class on C4.5 Algorithm for Fish Diseases. 2016 2nd International Conference on Science in Information Technology (ICSITech), pp.5
[9] WHO. 2010. International Statistical Classification of Diseases and Related Health Problems (ICD-10).
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