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

fYear

2011

fDate

13-15 June 2011

Firstpage

371

Lastpage

374

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/HEALTH.2011.6026781

Filename

6026781