Diabetes Prediction Based on Livelihood

Diabetes Prediction Based on Livelihood

Authors

  • Binumon Joseph ktu
  • Jacob Jojy

DOI:

https://doi.org/10.5281/zenodo.6181297

Keywords:

Diabetes, Lifestyle,, Urban and Rural areas, KN- Neighbours Classifier, Random Forest Classifiers

Abstract

The purpose of this take a look at is to decide someone's diabetes risk relying on their lifestyle. there has been
lots of development in the field of clinical prognosis using various gadget mastering algorithms. The peoples living in urban
and Rural place have special existence. unique system gaining knowledge of algorithms had been used to forecast the risk
of diabetes, and the outcomes were quite accurate, that's vital within the medical area. For databases, the performance of
KN- Neighbours Classifier and Random wooded area Classifiers was decided to be the maximum accurate.

Author Biography

Binumon Joseph, ktu

 

 

Published

2023-02-23

How to Cite

Binumon Joseph, & Jacob Jojy. (2023). Diabetes Prediction Based on Livelihood. National Conference on Emerging Computer Applications, 4(1). https://doi.org/10.5281/zenodo.6181297
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