We have developed a system based on SNOW-MED to extract medical information from herbal texts. SNOW-MED is a semantic index that recognizes relationships between groups of words . For example, the semantic map for thrush is related to yeast, infection, and microbe. Although this system may eventually allow a potential pharmacological function to be extrapolated, we are currently using the system to simply extract disorders from the text. We have used the Mayo Vocabulary Server to perform this data mining [34, 35].
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