Which algorithm is used in diabetes prediction?

DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)

DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)

Treatment for type 2 diabetes

Treatment for type 2 diabetes

Dealing with Diabetes Distress

Machine learning methods are widely used in predicting diabetes, and they get preferable results. Decision tree is one of popular machine learning methods in medical field , which has grateful classification power. Random forest generates many decision trees.

Recently, numerous algorithms are used to predict diabetes, including the traditional machine learning method (Kavakiotis et al., 2017), such as support vector machine (SVM), decision tree (DT), logistic regression and so on.6 Kas 2018