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Pregnancy complication is the disease which happened in early or mid of pregnancy without certain reason. Some pregnant women maybe suffer from pregnancy complications after the maternity examination. However, those pregnant got a normal result in maternity examination, shows they have nice conditions. This indicated that the single indicator has lowly possible to detect the potential pregnancy complication. Through selecting a group of important dimensions in pregnancy test data for pregnant cluster analysis, a comparative visual analysis system for exploring and detecting the possibility of suffering pregnancy complication with the important dimensions of origin data was designed. The case study shows the system is able to help clinical gynecologists to detect the potential patient and find similar patients with exit cases. Besides, compared with the traditional medical treatment, the probability of finding potential pregnancy complications has increased to 74.8%, and the average error rate has decreased by 2.8%.