Abstract: OBJECTIVE To explore the compatibility of influenza drugs based on association rules and cluster analysis. METHODS With "influenza" as the theme, from January 2009 to January 2019, 290 eligible literatures were searched in CNKI. The frequency analysis, association rule analysis and systematic cluster analysis of Chinese medicines that met the criteria were carried out using Excel 2013, SPSS Clementine 12.0 and SPSS Statistics 23.0 statistical software. RESULTS Frequency analysis showed that among 290 clinical treatments, the frequencies of liquorice(204, 70.34%), forsythia suspensa(168, 57.93%) and honeysuckle(151, 52.07%) were the highest, and cold(16 times, 53.33%) was the highest in the statistics of sexual taste. Bitter(19 times, 42.22%) was the most common; lung meridian(25 times, 32.47%) and heart meridian(14 times, 18.18%) were the most common; eight groups of drug pairs with the highest association intensity were obtained in association rule analysis; five groups were the core components in cluster analysis. CONCLUSION Modern information technology can be used to analyze the effective clinical prescriptions for influenza, and the most critical drug compatibility and high-incidence syndrome types can be obtained. It is of great significance to reduce the use of major clinical prescriptions and develop new drugs.