Sasang typology classification with data reduction and SOM algorithm

Personalized medicine has been the major interest for the Western and traditional medicine for a long time since Hippocrates and Yellow Emperor. The purpose of this study was to utilize data reduction and artificial network algorithm for the classification of Sasang types with clinical data. The results showed acceptable type-specific sensitivity and specificity considering its limitation with data. Multidisciplinary approach for the personalized medicine is needed for upcoming integrative medicine.