Anthropometric predictors and Artificial Neural Networks in the diagnosis of hypertension

机译：人体测量预测器和人工神经网络在高血压诊断中的作用

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Artificial Neural Networks (ANNs) play a vital role in the medical field in solving various health problems like estimating the risk of cardiovascular diseases. The article concerns the process of developing ANNs for estimating the risk of arterial hypertension. ANNs proposed in this article use anthropometrical predictors, easy to control for everybody at home without special equipment. In the article we analyze four different models of ANNs and try to find out which model and set of anthropometrical predictors estimates the risk the most accurately. We use dataset of 2485 real cases of patients from the city of Lodz. The experiment was done in the Matlab environment. The performance of the proposed method in terms of accuracy and facility of use shows that ANNs can be effective tools for preliminary tests of arterial hypertension.

机译：人工神经网络（ANN）在医学领域中对于解决各种健康问题（例如估计心血管疾病的风险）起着至关重要的作用。本文涉及开发用于估计动脉高血压风险的人工神经网络的过程。本文提出的人工神经网络使用人体测量预测器，无需特殊设备即可轻松在家中控制每个人。在本文中，我们分析了四种不同的人工神经网络模型，并试图找出哪种模型和一组人体测量预测因子可以最准确地估计风险。我们使用来自罗兹市的2485例真实患者的数据集。实验是在Matlab环境中完成的。所提方法在准确性和使用便利性方面的性能表明，人工神经网络可以作为进行动脉高血压的初步测试的有效工具。

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《Federated Conference on Computer Science and Information Systems》|2015年|287-290|共4页
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Pytel Krzysztof; Nawarycz Tadeusz; Ostrowska-Nawarycz Lidia; Drygas Wojciech;
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anthropometry; diseases; medical diagnostic computing; neural nets; risk analysis; ANNs; Matlab environment; anthropometrical predictors; arterial hypertension risk estimation; artificial neural networks; cardiovascular diseases; hypertension diagnosis; medical field; Artificial neural networks; Blood pressure; Hypertension; Indexes; Obesity; Training;

机译：人体测量法;疾病;医学诊断计算;神经网络;风险分析;人工神经网络; Matlab环境;人体测量预测器;动脉高血压风险估计;人工神经网络;心血管疾病;高血压诊断;医学领域;人工神经网络;血压;高血压;指数;肥胖症;培训;

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机译：高血压诊断中的人工测量预测因子和人工神经网络

Anthropometric predictors and Artificial Neural Networks in the diagnosis of hypertension

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