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首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Smart Hospital for Heart Disease Prediction using IoT
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Smart Hospital for Heart Disease Prediction using IoT

机译：智能医院为心脏病预测使用物联网预测

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The Internet of Things (IoT) is inter communication of embedded devices using? various network technologies. The IoT technology is all set to become the upcoming trend in the future. We are proposing a healthcare monitoring system consisting of ECG Sensors. The parameters which are having a significant amount of importance are sensed by the ECG sensors which are vital for remote monitoring of patient. A mobile app observation is used to continuously monitor the ECG of the patient and various data extraction techniques are performed on the ECG wave to extract attributes to correctly predict heart diseases. .Data mining with its various algorithms reduce the extra efforts and time required to conduct various tests to detect diseases.. Data is collected from ECG sensors. The data is stored onto s storage medium where data mining algorithms are performed on the data collected. These algorithms predict whether the patient has any heart disease. The results can be referred by the doctors for diagnosis purpose. By using IOT technology and data mining algorithms the predication of heart disease is going to do in system.
机译：物联网（物联网）是使用的嵌入式设备的互通？各种网络技术。 IOT技术全部设定为未来即将到来的趋势。我们提出由ECG传感器组成的医疗监测系统。具有显着程度的参数由ECG传感器感测，这对于远程监测患者至关重要。移动应用观察用于连续监测患者的ECG，并在ECG波上执行各种数据提取技术，以提取属性以正确预测心脏病。 .Data挖掘其各种算法可减少对检测疾病进行各种测试所需的额外努力和时间。数据来自ECG传感器。数据存储在S存储介质上，其中对收集的数据执行数据挖掘算法。这些算法预测患者是否有任何心脏病。结果可以由医生提及诊断目的。通过使用物联网技术和数据挖掘算法，心脏病的预测将在系统中进行。

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