糖尿病预测数据挖掘方法综述与分析

2017 7th International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2017-11-01 DOI:10.1109/CSNT.2017.8418562

Girdhar Gopal Ladha, R. S. Pippal

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引用次数: 1

摘要

根据国际糖尿病联合会的数据，2015年全球每11个成年人中就有1人患有糖尿病。他们的报告还指出，到2040年，全球每10名成年人中就有1人患有糖尿病。它是危险的，因为它在较高的阶段最有可能被诊断出来。本文的主要目的是寻找有助于早期诊断的方法。本文对数据挖掘技术进行了详细的研究和分析。本文对这些不足进行了深入分析，并就未来的建议提出了改进建议。它还提供了方法学审查以及糖尿病的影响，并在其症状识别的方向。

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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A review and analysis on data mining methods to predict diabetes

According to international diabetes federation one in eleven adults have diabetes in 2015 worldwide. Their report also suggest that it may increase by one in ten adults has diabetes by 2040 worldwide. It is dangerous as in maximum chances it is diagnosed in the higher stages. The main aim of this paper is to find the methodologies which can help in early stage diagnosis. This paper provides a detail study and analysis on data mining techniques. A deep analysis has been presented for finding the gaps and also suggested the enhancements in terms of future suggestions. It also provides methodological review along with the impact of diabetes and in the direction of their symptoms identification.

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2017 7th International Conference on Communication Systems and Network Technologies (CSNT)

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