The products life cycle of High-Tech industry is short, the competition is intense. Although the employee average age is not high, most employees work overtime, are under high pressure and lack of exercise, employees' lifestyle causes a danger signal to appear. Diabetes has been ranked the fourth position in the top ten causes of death in Taiwan, but has been rising every year. Type 2 Diabetes Mellitus is often difficult to perceive by oneself, and is commonly ignored by young employees in the High-Tech industry. In this study, according to two consecutives years of health examination from employees in the High-Tech industry, applying Decision Tree classification technology analyzes the extent to which the health of staff changes, in order to find out the diabetes risk factors of workers in this industry. The resulting literature is unable to give present employees in the normal range populace an indicator for when their own health starts to take a turn for the worse; rather, to only inform the healthy of levels of the morbidity rate. So this study presentation promotes a new concept that considers the "quantities of factor changes", it will let the populace know if the change quantities of diabetes risk factors are in a safe range or not. Analysis results reveal, assuming the "quantities of factor changes" of the decision tree model have the highest accuracy, the correct rate of 82.51%. After data analyses of the High-Tech industry staff, 5 factors were determined to put one at risk for Type 2 Diabetes Mellitus. These factors are: (1) impaired fasting glucose, (2) blood pressure, (3) triglyceride, (4) Glutamate pyruvate transaminase (GPT), and (5) white blood cell count (WBC).