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Respiratory diseases recognition through respiratory sound with the help of deep neural network

机译:在深度神经网络的帮助下通过呼吸声识别呼吸系统疾病

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Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.
机译:借助深度神经网络或深度学习来预测呼吸系统疾病,例如COPD(慢性阻塞性肺疾病),URTI(上呼吸道感染),支气管扩张,肺炎,毛细支气管炎。我们构建了一个深层的神经网络模型,将呼吸声作为输入并对其呼吸系统的状况进行分类。它不仅可以对上述疾病进行分类,还可以以更高的准确度和精确度对人的呼吸系统是否健康进行分类。

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