Objective:To investigate the medication and compatibility of traditional Chinese medicine prescriptions in the treatment of lung cancer based on complex systems entropy network method(CSENM). MethodsTraditional Chinese medicine prescriptions recorded in the great dictionary of prescription for tumor and indeed used in the treatment of lung cancer were selected. Correlation of traditional Chinese medicine was assessed by mutual information method based on random permutation test. On this basis complex network was established. The core couplet medicines and prescription and the compatibility rule of four properties,five tastes and channel tropism were explored through the central information of computer network.  Results:Totally 323 prescriptions were selected which involved 407 herbal medicine. Among,20 herbs that mainly nourishing Yin and tonifying Qi were used with high frequency,41 core triples combinations and 26 couplet medicines were founded. Meanwhile 13 basic prescriptions that based on medicine of nourishing Yin and tonifying Qi as main and medicine of reducing phlegm and resolving masses and clearing heat and detoxification as supplement were digged out. The herbal medicine mostly presented cold or warm in property,bitter or hot in taste,and the majority were distributed to lung,spleen,1iver,stomach and large intestine in channel tropism.  Conclusion:CSENM is an effective method for the discovery of prescriptions and medicine in the treatment of lung cancer. The therapeutic principles emphasize the combination of cold and heat,the complementation of Yin and Yang,the coordination of exterior and interior. Medication is based on nourishing Yin and tonifying Qi as main and eliminating pathogenic factors as supplement.