College teachers subhealth decision analyzing by using improved association rules

With the high development of science and technology, the progresses of society, the increasing pressure of modern work, the trend of people’s health states is dropping gradually. The number of people in subhealthy state is enlarging day by day. Many researchers have done a lot of researches on the constitution health data of college teachers by traditional math analyzing method. Some superficial information is obtained easily though traditional query operation from constitution data, but deep level information that hides in the constitution data is difficult to be discovered. Based on it, an improved association algorithm is proposed and applied in constitution health data analyzing. The results manifest that the algorithm is effective in constitution health data analyzing.