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Usage of Data mining techniques in predicting the Heart diseases - Naive Bayes Decision tree

机译:数据挖掘技术在预测心脏病 - 天真贝叶斯和决策树中的用途

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Heart disease is the leading cause of death among all other diseases, even cancers. The number of men & women facing heart disease is on a raise each year. This prompts for its early diagnosis & treatment. Due to lack of resources in the medical field, the prediction of heart disease occasionally may be a problem. Utilization of suitable technology support in this regard can prove to be highly beneficial to the medical fraternity & patients. This issue can be resolved by adopting Data mining techniques. This paper intends to adopt Naive Bayes & Decision tree - two data mining techniques for the effective prediction of Heart disease. It compares the efficiency & accuracy of the two techniques to decide among them the best.
机译:心脏病是所有其他疾病中死亡的主要原因,甚至是癌症。心脏病的男性和女性的人数每年都在筹集。这提出了早期诊断和治疗。由于医学领域缺乏资源,偶尔对心脏病的预测可能是一个问题。在这方面,利用合适的技术支持可以证明对医疗兄弟会和患者的高利可力。通过采用数据挖掘技术,可以解决此问题。本文旨在采用天真的贝叶斯和决策树 - 两种数据挖掘技术,用于有效预测心脏病。它比较了两种技术的效率和准确性最佳地决定。

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