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Neural Network as a Tool for Medical Signals Filtering, Diagnosis Aid, TherapyAssistance and Forecasting Improving

机译:神经网络作为医学信号过滤,诊断辅助,治疗的工具协助和预测改进

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Neural Networks are very rare used for medical applications. In the paper short discussion of the neural networks general properties is combined with some ideas, how and why use the neural networks for medical purposes. Four areas of application of neural network in medicine are presented and discussed. First is application used for adaptive signal filtering. Next and most popular is application in medical diagnosis process - neural network can be helpful here as automatic pattern recognition systems, advising device as well as criticizing systems for doctors decisions. Third area of neural network applications is connected with therapy assistance. Last but least neural network can be applied for forecasting of future state of the patient under consideration (prediction of therapy results). All such applications are worth more carefully evaluations as it is observed now an therefore this paper is dedicated for pay attention of the doctors and biomedical engineering researchers to reach and diverse opportunities hidden in neural networks advantages.
机译:神经网络很少用于医疗应用。在本文中,对神经网络的一般特性的简短讨论与一些想法,如何以及为什么将神经网络用于医学目的相结合。提出并讨论了神经网络在医学中的四个应用领域。首先是用于自适应信号滤波的应用程序。接下来,最流行的是在医疗诊断过程中的应用-神经网络在这里可以作为自动模式识别系统,建议设备以及用于医生决策的批判系统提供帮助。神经网络应用的第三个领域与治疗辅助有关。最后但最不重要的神经网络可以用于预测所考虑患者的未来状态(治疗结果的预测)。由于现在已经观察到所有这些应用,因此值得更仔细地评估。因此,本论文致力于引起医生和生物医学工程研究人员的关注,以期发现和隐藏在神经网络优势中的各种机会。

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