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Old-Age Health Risk Prediction and Maintenance via IoT Devices and Artificial Neural Network

  • Dayashankar Prajapati
  • K. Bhargavi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

IoT is the collaboration of physical devices, electronics, software, sensors, actuators, and network connectivity which helps in collecting and exchanging of data. It is a smart technology which cooperates with the environment by the sensors and actuators which are found very useful in monitoring the health of the people. It holds different features such as diagnosis, signal analysis, drug development, medical image analysis, and radiology. These features of IoT devices are used for monitoring the health of old-age citizen as they are highly influenced by several diseases which require continuous monitoring and treatment. In this paper, a novel IoT and neural network-based old-age health risk prediction framework is proposed, and the performance of the proposed framework is found to be good with respect to parameters like time consumption, monitoring efficiency, and cost incurred.

Keywords

IoT Health monitoring Internet of Things Neural network Health risk prediction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSiddaganga Institute of TechnologyTumkurIndia

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