Abstract:
Diabetes is a medical word that refers to a variety of illnesses that cause damage to the
kidneys, heart, and liver. In recent years, scientific discoveries have enabled doctors to treat
this illness utilizing a variety of ways, which they have done. In recent years, artificial
intelligence and machine learning have gained importance as tools for improving medical
treatment and medical research in general, and medicine in particular. Because diabetes is
a potentially fatal illness, it necessitates the application of machine learning to forecast
when it will appear in the first place. Machine learning methods, applications, and
algorithms may be used in tandem to predict the onset of diabetes. The machine-learning
algorithm generates a certain result.and that algorithm surpasses all other algorithms. More
complex and algorithms that are dynamic need to be used to get the best results, and these
algorithms include Random Forest, Nev Base, Decision Tree, K-Nearest Nebert (KNN).
