Objective: To explore the medication principle of treating arrhythmia based on text mining and to provide a reference for clinical experience summary Method: We used data mining technology combined with visualization.Based on the literature data of treatment of arrhythmia collected in the CBM database

we explored the medication principle of treating arrhythmia

both traditional Chinese medicine(TCM) and Western medicine.The means we used include frequency statistical data based on sensitive keywords hierarchical algorithm

retro-read and manually noise reduction.These laws displayed by the frequency of one-dimensional and two-dimensional network diagram. Result: Common Western medicine for treating arrhythmia are Epinephrine

urokinase

digoxin

etc

common Chinese medicine are Wenxin grain

compound Danshen Dripping pill

etc

common TCM are Rehmanniae

Salvia

Ginseng

Aspartame

Licorice

etc.Among these

Epinephrine

Wenxin grain

Cassia twig are most closely related to other medicine.Commonly used Chinese medicine is Wenxin Grain when Chinese medicine combined with Western medicine. Conclusion: Text mining technology can be used for summary of medication principle of treating arrhythmia

thus could provide useful exploration and reference for clinical experience summary.