Diabetes Prediction Using Machine Learning Algorithms

Diabetes Prediction Using Machine Learning Algorithms

Authors

  • Nimmy Francis ktu
  • Melbin Varghese KTU

Keywords:

machine learning, KNN Algorithm, logistic regression, Diabetes prediction analysis, report

Abstract

—Diabetes mellitus also known as diabetes is a
metabolic disorder that is characterized by a high level of blood
sugar over a long period of time. It is a disease that occurs when
the blood glucose, also known as blood sugar, content is too high
in the blood. Blood glucose is the source of energy and it is made
from the food we eat. Pancreas make insulin which helps in
breaking down the protein and carbohydrates from the food and
convert into glucose and energy for the body. This insulin is used
to break down this glucose and convert into energy for the body.
Sometimes the body doesn’t make enough insulin to work on the
glucose. In such situations the glucose doesn’t get processed and
it just stays in the blood stream. Over time, the presence of a lot
of glucose in the blood stream can cause chronic health issues.
Generally diabetes has no actual cure but certain steps can be
taken to keep diabetes in check and stay healthy. This paper
discusses about the applications of Machine Learning in
prediction and understanding the diabetes in people.

 

Author Biographies

Nimmy Francis, ktu

 

 

Melbin Varghese, KTU

 

 

Published

2022-12-20

How to Cite

Nimmy Francis, & Melbin Varghese. (2022). Diabetes Prediction Using Machine Learning Algorithms. National Conference on Emerging Computer Applications, 3(1). Retrieved from https://ajcejournal.in/nceca/article/view/58
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