Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms

Algorithm 2

Linear SVM pseudocode.

Input:

 Hypertension disease data set

Output:

 Selected features and SVM classifier

1. load data set

2. Sample the data randomly into training (67%) and testing(33%) data set

3. set target variable

4. generate the classifier based on the training data set

5. train the classifier using linear kernel function (similarity function)

6. predict the testing data set using the trained classifier

7. evaluate the classifier

8. Recursively select the features correspond to their weights