利用人工神经网络预测心脏病的研究进展

Chun-Chen Peng, Chun-Wei Huang, Yi-Chun Lai
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引用次数: 1

摘要

为了减轻心脏病(HD)医生的负担,近年来越来越多的研究者提出采用智能方法,即人工智能来解决HD预测问题。根据我们对约1685篇相关论文的初步文献综述,发现其中约有三分之一的论文采用了人工神经网络。因此,本文拟对人工神经网络的HD预测进行广泛的调查。调查完成后,相信可以提出并开展积极有效的高清智能预测研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heart Disease Prediction Using Artificial Neural Networks: A Survey
In order to remove the burden of heart disease (HD) physicians, recently more researchers have proposed to apply intelligent approaches, i.e., artificial intelligence to solve the HD prediction problem. According to our preliminary literature review of about 1685 related papers, it's found that, about one third of them were with ANN s. Therefore, this paper intends to provide an extensive survey of HD prediction for ANNs. When survey is completed, it's believed that the positive and effective research directions for intelligent HD prediction could be suggested and conducted.
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