MACHINE LEARNING BASED HEALTHCARE MONITORING USING 6G TECHNOLOGY

Authors

  • N. Nithya
  • Anil Kumar Dixit
  • Satish Billewar
  • Sunil Devidas Bobade
  • Deema mohammed alsekait

DOI:

https://doi.org/10.47750/pnr.2022.13.S09.061

Keywords:

6G(sixth generation network), ML(Machine Learning), etc.

Abstract

6G is a potential correspondence innovation that will overwhelm the entire wellbeing business. It won't just rule the wellbeing area, yet additionally different regions. It is anticipated that 6G would transform numerous industries, including healthcare. The healthcare industry will be entirely reliant on 6G communication technologies and AI.Currently, time and geography are the most significant hurdles to health care, but 6G will eliminate these obstacles. The sixth-generation (6G) network plans to bring revolution in the medical care area. It will offer brilliant medical care (s-wellbeing) therapies and permit productive patient remote observing, uncovering the high capability of 6G correspondence innovation in tele medical procedure, pestilence, and pandemic. Besides, 6G will demonstrate to be a game-changing innovation for the medical services industry. Considering this, we predict the medical care framework for the period of 6G correspondence innovation. Furthermore, different new methodologies are executed to improve the Quality of Life (QoL). Furthermore, the capability of 6G correspondence innovation in telesurgery, the Epidemic, and the Pandemic is examined.

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Published

2022-11-10

How to Cite

N. Nithya, Anil Kumar Dixit, Satish Billewar, Sunil Devidas Bobade, & Deema mohammed alsekait. (2022). MACHINE LEARNING BASED HEALTHCARE MONITORING USING 6G TECHNOLOGY. Journal of Pharmaceutical Negative Results, 553–562. https://doi.org/10.47750/pnr.2022.13.S09.061

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Section

Articles