Based on the Traditional Chinese Medicine Inheritance Assistance Platform (V2.5), this study explores the medication patterns of famous traditional Chinese medicine practitioners using four classic herbal medicines to treat dizziness, providing medication reference for clinical treatment of dizziness. Collect prescriptions from CNKI for the treatment of dizziness using four classic herbs from Chinese traditional Chinese medicine practitioners, including 47 prescriptions for rhubarb, 74 prescriptions for Aconite root, 46 prescriptions for ginseng, and 122 prescriptions for prepared Radix Rehmanniae, and input them into the traditional Chinese medicine inheritance assistance platform to analyze their medication patterns. The total frequency of using tonifying qi and blood medicine is the highest. The four qi are mainly composed of cold, warm, and calm. The five flavors are sweet, bitter, and spicy. It mainly belongs to the liver, spleen, and kidney meridians, and is connected to the five organs. The most commonly used drug combination in prescriptions containing rhubarb is rhubarb and Gastrodia elata. The most commonly used drug combination for prescriptions containing Aconite root is Aconite root and Atractylodes macrocephala. The most commonly used drug combination for prescriptions containing ginseng is ginseng andAstragalus membranaceus; The most commonly used drug combination in prescriptions containing Radix Rehmanniae is Radix Rehmanniae and Cornus officinalis.Proficient in the medication methods of the four classic herbs, the treatment of dizziness has a significant therapeutic effect, reflecting that in deficiency syndrome, the main focus is on tonifying qi and blood, while in empirical syndrome, the basic treatment principles of wind, fire, phlegm, and blood stasis need to be distinguished. Famous traditional Chinese medicine practitioners have rich experience and are worth learning from.

Xiaoying Ma, Ling Li, Xinghua Hu. Analysis on Medication Rules of Four Classic Chinese Herbal Medicines in Dizziness Treatment Based on Data Mining. Frontiers in Medical Science Research (2023) Vol. 5, Issue 7: 125-133. https://doi.org/10.25236/FMSR.2023.050720.

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