Investigating the relationship between laboratory elements and factors affecting stress levels by using data mining

Background and aims: considering the epidemic of stress in the society and the importance ofidentifying relevant and effective factors in this field, this research aims to identify laboratoryelements and their relationship with other factors influencing the stress level of people using theApriori algorithm of the association rules method of data mining.Method: In this study, the laboratory data of ۳۴۷۰ people referred to Shahrekord Cohort ResearchCenter were used. After data preparation and pre-processing, by using Apriori algorithm, variousmodels were applied and finally the rules that expressed the effective factors and laboratory elementson high level of stress among people were extract and analyzed.Results: The findings show that people with SBP and blood urea higher than normal or peoplewith MCH less than ۲۶, neutrophil less than ۳۹, lymphocyte less than ۳۳ and have fasting bloodsugar higher than normal, they experience high level of stress.Conclusion: The results show that by investigating the laboratory elements, it’s possible to examineanalyze the stress level of people in the society and care and therapeutic measures were usedat the necessary time.

کلیدواژه ها:

Stress ، Data Mining ، Association rules ، Laboratory element