Objective:To investigate the rule,prescription,and medication of classical prescriptions in the syndrome differentiation-based treatment of advanced lung cancer.Methods:CNKI was searched to obtain the med-ical records of advanced lung cancer treated with classical prescriptions.Medcase Recording System V5.2 was used for data mining,and frequency analysis and association rule analysis were used to analyze the medical records of ad-vanced lung cancer treated with classical prescriptions in terms of clinical symptoms,tongue manifestation,pulse manifestation,pathogenesis,and prescription medications.Results:The main clinical manifestations of advanced lung cancer included cough,fatigue and weakness,loss of appetite,chest distress,festless sleep,and difficulty falling asleep.Tongue manifestations with a relatively high frequency included dark-red tongue,red tongue,light-red tongue,pale tongue,white and thin coating of the tongue,and slimy yellow tongue fur.Pulse manifestations with a relatively high frequency included thready pulse,stringy pulse,slippery pulse,deep pulse,rapid pulse,and weak pulse.The main pathogeneses included cancer toxin stagnation in lungs,Qi deficiency of lung and spleen,failure of the lungs to regulate diffusion and purification,liver depression transforming into fire,phlegm-heat obstructing the lung,and collection of water-rheum in lungs.Commonly used drugs included Poria cocos,Rhizoma Pinelliae Pra-eparatum,Radix Glycyrrhizae Preparata,jujube,Ramulus Cinnamomi,and Bupleurum chinense.The association rule analysis obtained 30 groups of associated symptoms,28 groups of associated pathogeneses,and 30 groups of associa-tions between pathogeneses and clinical symptoms.Conclusion:The method of data mining can reflect the rule of classical prescriptions in the syndrome differentiation-based treatment of advanced lung cancer and thus has a cer-tain significance in clinical guidance.
advanced lung cancerclassical prescriptionrule of syndrome differentiation-based treat-mentdata mining
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