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Bayes Classifier Chain Based on SVM for Traditional Chinese Medical Prescription Generation

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12317)


Traditional Chinese Medicine (TCM) plays an important role in the comprehensive treatment of lung cancer. However the quality of the prescriptions from TCM doctors depends on the doctor’s personal experience, which leads to the TCM prescriptions are the lack of standardization. We apply the original clinical TCM prescriptions data to train a standardized prescription generating model for TCM therapy. Our model adopts the Bayes Classifier Chain (BCC) algorithm to solve the label correlation problem, whose basic classifier is cost-sensitive SVM targeted to the class imbalance of the label. The results of experiments on the prescription dataset demonstrated the effectiveness and practicability of the proposed model for a prescription generation.


  • Multi-label classification
  • Bayes classifier chain
  • Cost sensitive SVM
  • TCM

This work is supported by the National Science Foundation of China (No. 61672161).

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  • DOI: 10.1007/978-3-030-60259-8_55
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Correspondence to Yanchun Zhang .

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Pei, C., Ruan, C., Zhang, Y., Yang, Y. (2020). Bayes Classifier Chain Based on SVM for Traditional Chinese Medical Prescription Generation. In: Wang, X., Zhang, R., Lee, YK., Sun, L., Moon, YS. (eds) Web and Big Data. APWeb-WAIM 2020. Lecture Notes in Computer Science(), vol 12317. Springer, Cham.

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