Title :
Discovering causal patterns in TCM clinical prescription data using set-theoretic approach
Author :
Su, Alan ; Poon, Simon K. ; Poon, Josiah
Author_Institution :
Univ. of Sydney, Sydney, NSW, Australia
Abstract :
Traditional Chinese Medicine (TCM) is a holistic approach to medicine which has been in use in China for thousands of years. The main treatment, Chinese Medicine Formula, is prescribed by combining sets of herbs to address the patient´s syndromes and symptoms based on clinical diagnosis. Although herbs are often combined based on various classical formulas, the underlying principles for the choice of herbs are not well understood. In this paper, we apply a set-theoretic approach to explore the complex relationships amongst herbs in TCM clinical prescriptions using Boolean logic.
Keywords :
Boolean functions; patient diagnosis; Boolean logic; Chinese medicine formula; TCM clinical prescription data; TCM clinical prescriptions; clinical diagnosis; discovering causal patterns; herbs; patient symptoms; patient syndromes; set-theoretic approach; traditional chinese medicine; Algorithm design and analysis; Bioinformatics; Complexity theory; Conferences; Educational institutions; Medical diagnostic imaging; Multivariate regression; Boolean Logic; Causality Analysis; Set Theoretic;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732683
