Title :
Sasang typology classification with data reduction and SOM algorithm
Author :
Han Chae ; Byoung Chul Kim ; Young In Kim ; Il Kyu Eom
Author_Institution :
Sch. of Korean Med., Pusan Nat. Univ., Yangsan, South Korea
Abstract :
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.
Keywords :
data reduction; medicine; pattern classification; self-organising feature maps; Hippocrates; SOM algorithm; Sasang typology classification; Yellow Emperor; artificial network algorithm; clinical data; data reduction; integrative medicine; personalized medicine; traditional medicine; western medicine; Artificial neural networks; Constitution; Educational institutions; Manganese; Medical diagnostic imaging; Support vector machine classification; Transmission line measurements; SOM; Sasang Typology; classification; data reduction;
Conference_Titel :
e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on
Conference_Location :
Columbia, MO
Print_ISBN :
978-1-61284-695-8
Electronic_ISBN :
978-1-61284-696-5
DOI :
10.1109/HEALTH.2011.6026781
