BACKGROUND
Traditional Chinese medicine (TCM) formulas are combinations of Chinese herbal medicines. Knowledge of classic medicine formulas is the basis of TCM diagnosis and treatment and is the core of TCM inheritance. The large number and the flexibility of medicine formulas make memorization difficult and understanding their composition rules is even more difficult. The multifaceted and multidimensional properties of herbal medicines are important for formula understanding, but these are usually separated from the formula information. Furthermore, these data are presented as texts and cannot be analyzed jointly and interactively.
OBJECTIVE
This work aims to devise a visualization method for TCM formulas that shows the composition of medicine formulas and the multidimensional properties of herbal medicines involved, and supports the comparison of medicine formulas.
METHODS
A TCM formulas visualization method with multiple linked views is proposed and implemented as a web-based tool after a close collaboration between visualization and TCM experts. The composition of medicine formulas is visualized in a formula view with a similarity-based layout supporting the comparison of compositing medicines; a shared medicine view complements the formula view by showing all overlaps of pair-wise formulas; a dimensionality reduction plot of medicines enables the visualization of multidimensional medicine properties. Medicines are color-encoded with a perceptual-guided color map that encodes multidimensional TCM attributes and the similarity measure at the same time. The color map is calculated by a data-driven interpolation scheme. With simple interactions, users could flexibly select medicines or formulas of interest, and the corresponding elements in other views are highlighted through brushing and linking.
RESULTS
Our method is applied to two typical categories of medicine formulas, namely, tonic formulas and heat-clearing formulas, which contain 20 and 26 formulas composed of 58 and 73 herbal medicines, respectively. Each herbal medicine has a 23-dimensional characterizing attribute. TCM experts explored the two datasets with our web-based tool and quickly gained insight into formulas and medicines of interest as well as the overall features of the formula groups that are difficult to identify with the traditional text-based method. Moreover, feedback from the experts indicates the usefulness of our method.
CONCLUSIONS
Our TCM formulas visualization method is able to visualize and compare complex medicine formulas and the multidimensional attributes of herbal medicines involved with an interactive web-based tool. Insights are gained into two typical medicine formula categories by TCM experts using our method. Overall, the new method is a promising first step to new TCM formulas education and analysis methodologies.