Internet of Medical Things Framework with Cognitive Contextual Healthcare Data Tags Aggregator

Authors

  • G.Vijay Baskar Research Scholar Department of Computer Science, Government Arts College (Autonomous), Salem-7
  • R.Pugazendi Assistant Professor Department of Computer Science, Government Arts College (Autonomous), Salem-7

Keywords:

Health care data, IoT, contextual data aggregation.

Abstract

For internet of things (IoT) platform, the internet of medical things (IoMT) is relatively new, but it offers a lot of potential advantages for intelligent health-care systems and smart future networks. The key to realizing this potential is making effective use of the health-care data, which can be difficult given how highly heterogeneous the data is and how it is dispersed among various devices with varying levels of importance and access authority. In order to tackle this problem, In this research article an smart contextual data aggregator with a use case of early sepsis detection using experimental data in the decentralized and distributed edge-based IoMT platform. The article delves into great detail about the various meta data aggregator capabilities and the overall IoMT architecture.. Researchers hypothesise, based on the conversation, that the suggested structural design would enhance usability and general enactment of IoMT platforms.

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Published

2024-09-05

How to Cite

G.Vijay Baskar, & R.Pugazendi. (2024). Internet of Medical Things Framework with Cognitive Contextual Healthcare Data Tags Aggregator. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1–7. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1218

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