利用Naïve贝叶斯分类算法分析II型糖尿病

Proceedings of the 2020 International Conference on Internet Computing for Science and Engineering Pub Date : 2020-01-14 DOI:10.1145/3424311.3424327

Jake Libed, Rosemarie Perreras, Jennifer Carpio

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引用次数: 1

摘要

为了提供更可靠的医疗诊断，患者病历已广泛应用于不同的数据挖掘方法中。在本研究中，研究人员利用Naïve贝叶斯分类算法构建预测过程的地图规则，开发了II型糖尿病分析。

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Type II Diabetes Analysis using Naïve Bayesian Classification Algorithm

Patients medical historical record has been extensively used in different data mining methods in order to provide a more reliable medical diagnosis. In this study, the researchers developed a type II diabetes analysis using Naïve Bayesian classification algorithm in constructing a map rule for the prediction process.

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Proceedings of the 2020 International Conference on Internet Computing for Science and Engineering

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