Analisa Penyakit Jantung Menggunakan Algoritma Naïve Bayes

Andri Nofiar Am, Mahdiawan Nurkholifah, F. Oktorina
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Abstract

Every year more than 2 million Americans die from heart disease which is the number one killer in the world. The results of the Sample Registration System (SRS) survey show that heart disease is the highest cause of death at all ages after stroke, which is 12.9%. The method used in this study uses the Naïve Bayes algorithm. The purpose of this study is to determine if anyone with heart disease has a stroke. From the research results obtained by splitting data using 80:20 to get a prediction accuracy rate of 83% for heart disease prediction cases. In the trial results using the label test data obtained, namely no stroke.
心脏疾病的分析使用了天真的贝斯算法
每年有超过200万美国人死于心脏病,这是世界上的头号杀手。抽样登记系统(SRS)的调查结果显示,心脏病是所有年龄段中仅次于中风的最高死因,占12.9%。本研究使用的方法采用Naïve贝叶斯算法。这项研究的目的是确定患有心脏病的人是否会中风。从研究结果中得到的数据分割使用80:20得到的预测准确率为83%的心脏病预测病例。在试验结果中采用标签试验获得的数据,即无卒中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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