Klasterisasi Pasien Rawat Inap Peserta BPJS Berdasarkan Jenis Penyakit Menggunakan Algoritma K-Means
نویسندگان
چکیده
Medical records of patients from the Health Insurance Administering Body (BPJS) consist complete patient data along with a complex history services stored in every health facility. Inpatient medical record contains important as well useful information new knowledge using mining techniques. This study aims to assist and provide related clustering BPJS inpatients at Arifin Achmad Hospital, Riau Province, so obtain spread patient's disease. The used are 2021. obtained then processed K-Means algorithm total 3 clusters. resulted cluster K1 dominated by Malignant neoplasm, breast, unspecified (C50.9) Non-Hodgkin's lymphoma, type (C85.9) Cluster K2 is fracture neck femur, closed (S71.00) Dengue haemorrhagic fever (A91).
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ژورنال
عنوان ژورنال: Jurnal Sistim Informasi dan Teknologi
سال: 2022
ISSN: ['2686-3154']
DOI: https://doi.org/10.37034/jsisfotek.v5i2.162