Drug use patterns in the treatment of lung cancer patients after surgery based on data mining
Objective To explore drug use patterns in treatment of lung cancer patients after surgery based on data mining.Methods The prescriptions of patients with lung cancer who were diagnosed and treated in the outpatient department of the First Affiliated Hospital of Anhui University of Chinese Medicine from September 2009 to December 2023 were collected.Based on the Cloud Platform of Ancient And Modern Medical Records,data mining method was used to analyze the nature and taste of drugs,meridian affinity,frequency,association rule,cluster and core prescription complex network.Results A total of 171 traditional Chinese medicine prescriptions were collected,involving 156 traditional Chinese medicines,and the top three drug effects were eliminating annoyance,stopping vomiting,clear heat and remove toxins.The main channel was the lung meridian,nature and taste were mainly slightly cold,flat and sweet.The high frequency(frequency＞30 times)drugs included 20 flavors such as coastal glehnia root,bamboo shavings,and liquorice root.There were 5 cluster analysis combinations and 83 associationrules.The core prescriptions were coastal glehnia root,bamboo shavings,liquorice root,reed rhizome,platycodon root,inner fiber of orange peel,spine date seed,milkwort root,dwarf lilyturf tuber,hairyvein agrimonia herb.Conclusion After surgery,lung cancer should be treated from the lung and spleen,following the prescription principles of light spirit,increasing and decreasing with the syndrome,reinforce healthy qi to eliminate pathogenic factors,and eliminating phlegm.
Lung cancerTreatment after surgeryData miningDrug use patterns
万方数据
维普
