Purpose/Significance To explore the theme and evolution trend of media data in the field of health. Method/Process Taking 160 549 pieces of health media data obtained from the Shenzhen Media Group database as the research object, topic clustering analysis is conducted based on the latent Dirichlet allocation(LDA) model combined with time series. Expert experience is used to compare and analyze the themes obtained from the LDA model. Result/Conclusion 25 themes are obtained strongly related to the field of health, 6 groups are diveded based on the trend of theme intensity evolution. The content division and intensity change of topic modeling effectively reflect the occurrence and evolution of hot events in the field of health. LDA model is used for theme modeling, combined with time series to analyze theme distribution, interpret theme significance, which is conducive to exploring the application of media data in the field of health and empowering public health undertakings.