HU Ya-ling, YOU Qiang-hua, TAO Shan. Data Mining Method on Relationship of Property, Flavor, Meridian Tropism and Efficacy of Xiaochaihu Tang[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(19): 204-207.
HU Ya-ling, YOU Qiang-hua, TAO Shan. Data Mining Method on Relationship of Property, Flavor, Meridian Tropism and Efficacy of Xiaochaihu Tang[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(19): 204-207. DOI: 10.13422/j.cnki.syfjx.2015190204.
Objective: To explore the relations among property
flavor
meridian tropism and efficacy of Xiaochaihu Tang and other derived prescriptions through the analysis of their main added Chinese herbs. Method: With the Dictionary of Chinese Medicine·Volume Prescriptions as prescription sources
Xiaochaihu Tang and other derived prescriptions were collected. With the frequency analysis as the starting point
the golden section method was introduced to select out the main added Chinese herbs in these prescriptions and analyze their main efficacy
main property
flavor as well as meridian tropism. Result: The 509 collected prescriptions included 171 added herbs
and 25 of them were used for 1 506 times
accounting for 62.53% of all the added herbs. Among all herbs
Radix Paeoniae Alba was the most frequently used. By efficacy
antipyretic herbs were the most frequently used. By property
flavor and meridian tropism
the frequently used herbs were mostly cold and bitter and entered the spleen meridian. Conclusion: By using the frequency analysis of the data mining method
we can better study the prescription features and compatibility laws of the added Chinese herbs in Xiaochaihu Tang prescriptions
which provides theoretical guidance for the clinical herbal prescriptions.