Title :
TCMISS-based analysis on the regularity of ancient TCM prescriptions for chronic renal failure
Author :
Su-Yuan Peng ; Xu-Sheng Liu ; Yin Li ; Lei Zhang
Author_Institution :
Second Affiliated Hosp., Guangzhou Univ. of Traditional Chinese Med., Guangzhou, China
Abstract :
Objective: To explore composing principles of prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines based on the traditional Chinese medicine inheritance support system (TCMISS). Methods: Prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines were entered into the TCMISS. Composing principles of these prescriptions were analyzed by TCMISS-integrated unsupervised data mining algorithms (including Improved Mutual Information, Complex Systems Entropy Clustering, and Unsupervised Entropy Hierarchical Clustering). Results: Eighteen core herbal combinations and 9 new prescriptions were evolved and obtained by analyzing 221 selected prescriptions for chronic renal failure and determining frequencies of occurrence of Chinese medicinal herbs in these prescriptions.
Keywords :
data mining; diseases; drugs; kidney; medical computing; patient treatment; unsupervised learning; Chinese medicinal herbs; TCMISS-based analysis; ancient TCM prescriptions; chronic renal failure; complex systems entropy clustering; improved mutual information; traditional Chinese medicine inheritance support system; traditional Chinese medicines; unsupervised data mining algorithms; unsupervised entropy hierarchical clustering; Algorithm design and analysis; Clustering algorithms; Data mining; Entropy; Kidney; Mutual information; Software; TCMISS; ancient TCM prescriptions; chronic renal failure; data mining;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999344
