Miloš Radović, Dejan Petrović, Nenad Filipović
Research and Development Center for Bioengineering, BioIRC, Kragujevac, Serbia.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8311-4. doi: 10.1109/IEMBS.2011.6092049.
Arterial geometry variability is present both within and across individuals. To analyze the influence of geometric parameters, blood density, dynamic viscosity and blood velocity on wall shear stress (WSS) distribution in the human carotid artery bifurcation and aneurysm, the computer simulations were run to generate the data pertaining to this phenomenon. In our work we evaluate two prediction models for modeling these relationships: neural network model and k-nearest neighbor model. The results revealed that both models have high prediction ability for this prediction task. The achieved results represent progress in assessment of stroke risk for a given patient data in real time.
个体内部和个体之间均存在动脉几何形状的变异性。为了分析几何参数、血液密度、动态粘度和血流速度对人体颈动脉分叉和动脉瘤壁面剪应力（WSS）分布的影响，进行了计算机模拟以生成与该现象相关的数据。在我们的工作中，我们评估了两种用于对这些关系进行建模的预测模型：神经网络模型和k近邻模型。结果表明，这两种模型对于该预测任务均具有较高的预测能力。所取得的结果代表了在实时评估给定患者数据的中风风险方面所取得的进展。
