Based on data mining, the drug law of clinical treatment of chronic urticaria

Journal Title: Medical Data Mining - Year 2021, Vol 4, Issue 2

Abstract

Background: Based on clinical data mining, we introduce the medication rule and clinical application of Professor Wang Lifen in the treatment of chronic urticaria, as the reference of clinical treatment of chronic urticaria. Methods: we collected 110 traditional Chinese medicine prescriptions for the treatment of chronic urticaria, and found out tastes, functions and channel tropism of Chinese medicine. After collecting and sorting, we inputted the data into excel 2010 software and established drug electronic database. We calculated the frequency of tastes, functions and channel tropism using the Spss 20.0 and analyzed the potential relationship between the drugs using Weka 3.8. We used Cytoscape 3.6.1 to draw the related network and combine it into a new prescription. Then the clinical data of prescriptions were statistically analyzed. Results: The statistical analysis showed that the high-frequency drugs for the treatment of the disease were Gancao (Glycyrrhizae radix et rhizoma), Huangqin (Radix scutellariae), Desmopeel, Jingjie (Herba schizonepetae), parsnip, etc., accounting for more than 69.50% of the total frequency. Moreover, the combination and drug pairs with the strongest and most commonly used high-frequency drugs were found. From the point of medicinal properties of these drugs in the treatment of chronic urticaria, the main drugs are cold, followed by warm and smooth, accounting for 70.75% of the total frequency. From the perspective of the efficacy of these drugs in the treatment of chronic urticaria, heat-clearing drugs are the main ones, followed by relieving drugs and Tonic drugs, accounting for 68.25% of the total frequency. From the perspective of medicine taste, sweet taste is the most important, followed by bitter and pungent taste, accounting for 68.00% of the total frequency. From the perspective of drugs channel tropism, the meridian of spleen is the most important, followed by the meridian of lung, liver, heart, stomach, etc., accounting for 71.62% of the total frequency. Conclusion: According to the data mining results, traditional Chinese medicine treatment of chronic urticaria is mainly based on dispelling wind, clearing heat and removing dampness, cooling blood and detoxifying, supplemented by nourishing blood and nourishing deficiency. This data mining conforms to the law and principle of traditional Chinese medicine treatment of chronic urticaria, which has certain reference and enlightenment significance for clinical treatment of chronic urticaria.

Authors and Affiliations

Hai-Ping Duan1, Ming-Kai Wang1, Hai-Die Liu1, Yu-Rong Zhao1, Li-Feng Wang2*

Keywords

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  • EP ID EP693186
  • DOI 10.12032/MDM2021033002
  • Views 114
  • Downloads 0

How To Cite

Hai-Ping Duan1, Ming-Kai Wang1, Hai-Die Liu1, Yu-Rong Zhao1, Li-Feng Wang2* (2021). Based on data mining, the drug law of clinical treatment of chronic urticaria. Medical Data Mining, 4(2), -. https://europub.co.uk/articles/-A-693186