Role of Machine Learning and Internet of Things in Health Care System: A Review

Authors

  • Gyanender Kumar
  • Sachin Kumar Yadav

Abstract

Abstract

Nowadays, integration of Machine Learning and IoT is modern technology for solving problems in healthcare industries. As IoT is entering into healthcare, the expectation of getting new facilities is also increasing, especially for the elderly. A number of protocols are affected on healthcare applications. IoT in healthcare is gaining more attention due to the advancement in the development of IoT devices. Comparative analysis of machine learning algorithms with their application is analyzed. A number of challenging task of communication systems is resolved with IoT. The short and long range communication protocols are also used for different applications. Different networking technologies like Bluetooth and Zigbee are synchronized with IoT technology. The wireless technology is also enhanced with machine learning and IoT techniques. The existing IoT-driven healthcare applications are analyzed and still there is a need for innovative technology-based solutions to face the challenges in medical environment. The technology is enhanced by the integration of machine learning and deep learning with IoT. The growth of IoT enabled devices is increasing day by day. The development of the IoT enabled devices is changing with change in the technology. Machine learning with IoT can be used as security purpose.

 

Keywords: IoT, Machine Learning, healthcare, security, healthcare  application

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Published

2020-12-29

Issue

Vol. 7 No. 3 (2020)

Section

Review Articles

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