Before revision:  To test this method, we construct two types of data: 1) when variables and outcome were randomly determined and 2 ) when the outcome depends on one variable.
After revision:  To test this method, we randomly assigned boolean operators between binary variables and focused on frequencies of boolean operators which could explain outcomes correctly. We determined trends of boolean operators by chi-square test. As an application, we performed this method for a dataset which included patient's age, body mass index (BMI), mean arterial pressure (MAP) and the quantitative measure of diabetes progression (Y). We set cutoff to each variable and considered these as binary variables. Interactions of age, BMI and MAP were determined as age and BMI and MAP (p<0.0001 for both operators) in estimating Y and sensitivity, specificity, positive and negative predicting value were 0.50, 0.85. 0.59, 0.80 respectively. We may be able to detemine trends of boolean operators and construct a 2 ) when the outcome depends on one variable.