Abstract:
New public health issue (COVID-19) was beginning to emerge in the latter part
of 2019 with a risk that specifically affected diabetics. The use of algorithm-
based methods and artificial intelligence to help clinical decision-making is
becoming increasingly important. Unaware of their diabetes, one in two people
live with it. They are not being kept in check or having their condition monitored.
Therefore, if they contract the coronavirus, they are more susceptible to have
new complica-tions. Early identification is crucial for the management and
treatment of diabetes because this disease will have a lengthy asymptomatic
phase. This article is an experiment with the use of machine learning models for
categorizing early-stage diabetes for a performant system. The most recent
dataset, dated July 22, 2020, is being used. 3 pertinent machine learning
algorithms have been used to analyze the dataset
