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Analysis Of The Importance Of Systolic Blood Pressure Versus Diastolic Blood Pressure In Diagnosing Hypertension: MRA Study.

机译:收缩压与舒张压在诊断高血压中的重要性分析:MRA研究。

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Hypertension is one of the severest and most common diseases nowadays. It is considered one of the leading contributors to death worldwide. Specialists tend to diagnose hypertension taking into consideration both systolic and diastolic blood pressure (BP) measurements. However, some clinical hypothesis states that under 50 years of age, diastolic may be slightly more predictive of adverse events, while above that age, systolic may be more predictive. The question is should we give more value to systolic BP or diastolic BP when diagnosing diseases such as hypertension? Three different experiments were conducted in this study using magnetic resonance angiography (MRA) data to investigate this question. In each of these experiments, the following methodology was followed: 1) preprocess MRA data to remove noise, bias, or inhomogeneities, 2) segment the cerebral vasculature for each subject using a CNN-based approach, 3) extract vascular features that represent cerebral alterations that precede and accompany the development of hypertension, and 4) finally build feature vectors and classify data into either normotensives or hypertensives based on the cerebral alterations and the blood pressure measurements. The first experiment was conducted on original data set of 342 subjects. While the second and third experiments enlarged the original data set by generating more synthetic samples to make original data set large enough and balanced. Experimental results showed that systolic blood pressure might be more predictive than diastolic blood pressure in diagnosing hypertension with a classification accuracy of 89.3%.
机译:高血压是当今最严重和最常见的疾病之一。它被认为是世界范围内导致死亡的主要因素之一。专家倾向于在考虑收缩压和舒张压(BP)的情况下诊断高血压。但是,一些临床假说指出,在50岁以下,舒张压可能对不良事件的预测性更高,而在该年龄以上,收缩压可能对预测性事件的预测性更高。问题是,在诊断高血压等疾病时,我们应该给予收缩压或舒张压更多的价值吗?在这项研究中,使用磁共振血管造影(MRA)数据进行了三个不同的实验来研究这个问题。在这些实验的每一个中,均采用以下方法:1)对MRA数据进行预处理以去除噪声,偏差或不均匀性; 2)使用基于CNN的方法对每个受试者的脑血管进行分段; 3)提取代表大脑的血管特征高血压发生之前和之后的变化,以及4)最后建立特征向量,并根据大脑变化和血压测量结果将数据分类为血压正常或高血压。第一个实验是对342位受试者的原始数据集进行的。在第二和第三次实验中,通过生成更多的合成样本来扩大原始数据集,以使原始数据集足够大且平衡。实验结果表明,在诊断高血压中,收缩压比舒张压更具预测性,分类准确度为89.3%。

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