Input: Results of survey form and google form

Output: T2DM lifestyle disease prediction models

BEGIN

STEP 1: Prepare the dataset from survey form and Google form

STEP 2: Preprocess the dataset:

STEP 2.1: Data integration

STEP 2.2: Data transformation

STEP 2.3: Data cleaning

STEP 3: Xtrain , Ytrain--75% of dataset

STEP 4: Xtest , Ytest--25% of dataset

STEP 5: Machine learning algorithms that are used in the models

mn=[ KNN( ), LR( ), SVM( ), NB( ), DT( ), RF( ), GB( )]

for(i=0; i<7; i++) do

Model= mn[i];

Model.fit();

model.predict();

print(Accuracy(i), confusion_matrix, classification_report, roc_curve);

End

STEP 6: Deployment of framework

STOP