Novel Based Approach towards Diabetic’s Classification Using Artificial Intelligence and Internet of Things Environment

Divyashree R; Dr. Sumati Ramakrishna Gowda

doi:10.32628/CSEIT241061199

Authors

Divyashree R Department of Computer Science ,Karnataka State Open University, Mysore, Karnataka, India Author
Dr. Sumati Ramakrishna Gowda Department of Computer Science ,Karnataka State Open University, Mysore, Karnataka, India Author

DOI:

https://doi.org/10.32628/CSEIT241061199

Abstract

The work is focused on designing effective technique employing AI such as machine learning and Internet of things environment for diabetic classification and management. The model is focused in reliably and energy efficient manner in collecting data using IoT and edge-computing paradigm. The work is focused on designing a novel ML model that can classify diabetics and should address class imbalance issues. The model should also be robust considering different kinds of data/attributes related to diabetics.

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References

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