The syndromes of lung cancer and compatibility of medicine in Traditional Chinese Medicine science treatment based on Clustering Algorithm

摘要

As the study for the modernization of Traditional Chinese Medicine (TCM) is moving continuously forward, a growing bond exists between TCM and modern information processing technology. The determination of syndrome and the study for the compatibility of medicines in TCM are main parts of it. In this paper, we clustered syndromes of lung cancer patients according to the clinical based cases by adopting Clustering Algorithm Based On Sparse Feature Vector algorithm (CABOSFV) algorithm and concluded three TCM classifications for lung cancer. Moreover, by the further study of the compatibility of medicines, numerous matches for critical medicines were proposed, and the results are correspond to clinical data.