Sistem Pendukung Keputusan Klinis Untuk Pemetaan Penyakit Cardiovascular Dengan Algoritma Clustering K-Means
Keywords:
tekanan darah, detak jantung, system pendukung keputusan klinis, clustering, algortima K-MeansAbstract
Deteksi awal dan pemetaan penyakit cardiovascular berperan penting dalam ketatalaksanaan kesehatan. Penelitian ini bertujuan untuk mengembangkan model sistem pendukung keputusan klinis (Clinical Decision Support System) yang non rule based system. Model ini berbasiskan data dengan menggunakan fungsi data mining clustering. Algoritma K-Means digunakan untuk melakukan clustering pada 120 data dan 4 atribut yaitu usia, obesitas, tekanan darah sistolik, tekanan darah diastolik dan detak jantung. Proses clustering menggunakan 500 epoch dan 3 cluster. Hasil clustering menunjukkan klaster 1 risikonya lebih tinggi, klaster 2 risikonya sedang, dan klaster 3 risikonya normal atau lebih rendah.
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