Ovarian cancer is one of the most common cancers contracted by women in China，and it has atendency to increase year by year. The gene chip is widely applied to the early detection of cancer，which ensuresan increase in survival rate over 97%. In this paper，by virtue of a mass spectrometry data of gene chip，an ovariancancer prediction method based on principal component analysis ( PCA) and support vector machine ( SVM) isproposed. The model is designed and the simulation comparison experiments are carried out，which are at the coreof the research. The experimental results verify that the proposed method has presented the superior performancewith prediction accuracy of 89. 1%and CPU time of 4. 791 s.