In order to analyze the modern pharmacological and clinical effect of Schisandra chinensis effectively, the big data is used to analyze it. Firstly, modern pharmacology of Schisandra chinensis is analyzed. Secondly, the big data analysis algorithm is designed by combining possibility fuzzy C-means algorithm and particle swarm optimization. Finally, a case study is carried out, results show that the proposed method can obtain the pharmacological and clinical effect of Schisandra chinensis correctly.
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