Optimization model research on efficacy in treatment of chronic urticaria by Chinese and Western Medicine based on a genetic algorithm

Abstract

ObjectiveTo investigate the potential rules and knowledge of Traditional Chinese Medicine (TCM) and Western Medicine (WM) treatment on chronic urticaria (CU) based on data-mining methods. MethodsSixty patients with chronic urticaria, treated with TCM and WM, were selected. Gray correlation analyses were adopted to determine therapeutic efficacy. Association algorithms were utilized to ascertain the correlation between the disease course and treatment results. A genetic algorithm was applied to discover the optimization model in the TCM and WM treatment on CU. ResultsThe total symptom scores after 4 weeks and 8 weeks of treatment in the TCM spleen-strengthening group correlated highly with the pre-treatment total symptom score. The duration of treatment showed the greatest impact on the total symptom score. A quartic equation was established (y= − 1.6403×10 − 6x4+0.00025576x3+0.0012819 x2 − 1.024x+79.5879, and x=106.9518, y=83.0036) using the genetic algorithm. ConclusionTCM treatment had a better effect in the later stage, whereas WM was better in the early stage. The duration of disease course had an impact on the effects of treatment. If the average total symptom score before treatment was ≤ 83.0036, TCM or WM treatment could achieve better efficacy.