Diabetes Prediction Using Different Machine Learning Algorithms
Sandhi Kranthi Reddy, T Krishnaveni, G Amala Nikitha, E. Vijaykanth
Abstract
Diabetes also known as chronic illness, in which people have high levels of sugar (or) glucose for a long period of time in blood. The general symptoms of diabetes include increase in thirst, hunger, weight loss, frequent urination. Diabetic people will have a risk of acquiring diseases like heart disease, nerve damage etc.‐‐. The risk factor and seriousness of diabetes can be reduced if early prediction is possible. Machine learning plays a major role in medical industry. The occurrence of diabetes can be predicted by applying different classification methods (Random forest and K-NN algorithms). This paper utilizes pima Indian diabetes dataset, which is downloaded from Kaggle.