基于数据挖掘的中医药治疗短暂性抽动障碍用药规律分析

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【中图分类号】R272.3 【文献标志码】A 【文章编号】1007－8517（2026）05-0106-06

Abstract：ObjectiveToanalyzethemedicationcompatibilitypaternsinthetreatmentof transientticdisordersbasedondata mining technology，providingabasis forprecisemedication.Methods Modernclinicalmedicalcaseswerecolectedasdatasources according toliteratureicusioncitiafllodbypreprocsingonstructadatabase.Statisticalnalysis，ssciationles， clusteranalysis methodswereemploedforcalculations.Teanalyticalresultsweresummarizedanddiscussedtoidentifytheedication paterns of traditional Chinese medicine in treating transient tic disorder in children. Results ① The high -frequency drugs are primarilythosethatcalmthliverandextinguishwind（Gouteng，Baishao），withapredominanceofcoldintermsoffourpropeties， and mostly sweet and bitter in terms of five flavors，primarily related to the liver meridian； ② The strongly associated drug pairs are “Gouteng- Chrysanthemum” and“Gouteng - Chrysanthemum - Baishao”； ③ Cluster analysis yields 1l core drug combinations. ConclusionDataminingconfimsthatreatmentofthisconditionprimarilyfocusesonregulatingtheliver，emphasizingthetreatentof wind，whilealsoconsideringthetherapeuticthoughtsof“strengteningthespleentostopspasms，nourishingbloodtocalmthespirit， and promoting qi to eliminate phlegm”.

KeyWords：Modern Physicians；Data Mining；Transient Tic Disorder；Medication Regularity

短暂性抽动障碍是指病程在1年以内，以不自主的抽动，语言或行为障碍为特征的一种神经精神障碍性疾病[1]。（剩余6167字）