Based on FP-Growth Algorithm to Excavate Medication Rule of Chinese Materia Medica for Radiation Esophagitis

Objective: To find the medication rule of Chinese materia medica for treating radiation esophagitis through FP-Growth algorithm. Methods: By searching the three major literature databases such as Chinese Journal Full-text Database, VIP Chinese Sci-tech Journals Database, Wanfang Data, etc. from the database establishment to May 10, 2020, 88 effective documents and 91 prescriptions were screened. The medication frequency of prescription in the paper was extracted and sorted. Results: The frequency of medicinal property from high to low were: slightly cold, cold, balance, warm, cool, slightly warm, and great cold. The frequency of medicinal taste from high to low were: sweet, bitter, pungent, slightly bitter, salty, slightly pungent, sour, light, astringent. The frequency of channel tropism from high to low were: lung, stomach, liver, heart, spleen, etc., and 10 herbal combinations with clinical significance were obtained. There was one prescription with good correlation strength in the clinical treatment of radiation esophagitis. Conclusion: The medication rule of Chinese materia medica for the treatment of radiation esophagitis is based on the principles of clearing away heat and detoxification, benefiting Qi(气) and nourishing Yin(阴), and stopping bleeding and removing phlegm. Heat-clearing medicine, tonic medicine, phlegmresolving, cough – relieving medicine and asthma-relieving medicine, blood-activating and stasis removing medicine were highly frequent used. The high-frequency association rules are nourishing Yin – clearing heat – generating fluid, removing toxin – cooling blood – benefiting Qi, benefiting Qi – invigorating spleen – stopping bleeding. It is stable and feasible to use FP-Growth algorithm to mine traditional Chinese medicine(TCM) to treat diseases.