1. A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases.
- Author
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Kumar, Priyan Malarvizhi and Devi Gandhi, Usha
- Subjects
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INTERNET of things , *HEART diseases , *MACHINE learning , *ALGORITHMS , *PATIENT monitoring , *WEARABLE technology - Abstract
Among the applications enabled by the Internet of Things (IoT), continuous health monitoring system is a particularly important one. Wearable sensor devices used in IoT health monitoring system have been generating an enormous amount of data on a continuous basis. The data generation speed of IoT sensor devices is very high. Hence, the volume of data generated from the IoT-based health monitoring system is also very high. In order to overcome this issue, this paper proposes a scalable three-tier architecture to store and process such huge volume of wearable sensor data. Tier-1 focuses on collection of data from IoT wearable sensor devices. Tier-2 uses Apache HBase for storing the large volume of wearable IoT sensor data in cloud computing. In addition, Tier-3 uses Apache Mahout for developing the logistic regression-based prediction model for heart diseases. Finally, ROC analysis is performed to identify the most significant clinical parameters to get heart disease. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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