Evaluation of human liver condition Self-organizing map and feed forward backpropagation technique

Author

Charoenwitsarutkun, Wisit ; Tanprasert, Chularat ; Tanprasert, Thitipong

Author_Institution

Department of Computer Science, Faculty of Science and Technology, Assumption University, Bangkok, THAILAND

fYear

2013

fDate

Jan. 31 2013-Feb. 1 2013

Firstpage

38

Lastpage

41

Abstract

Serum Glutamic Pyruvate Transferase (SGPT) is an enzyme that used as a medical standard to evaluate health of human liver. The only method for measuring the amount of SGPT is through blood sampling. This paper introduces a new approach to measure the level on SGPT using body composition and home-used measuring tool. The self-organizing map was use as clustering tool and feature extraction tool. The prediction model was synthesized by using multi-layered feedforward neural network. The accuracy of the presented approach is reaching an impressive rate of 91%–97%, depending on the network structure and training features.

Keywords

Accuracy; Blood; Correlation; Liver; Neural networks; Predictive models; Training; Liver; Medical & dianogsic system; Neural network; Self-organizing map; Serum Glutamic Pyruvate Transferase (SGPT);

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge and Smart Technology (KST), 2013 5th International Conference on

Conference_Location

Chonburi, Thailand

Print_ISBN

978-1-4673-4850-8

Type

conf

DOI

10.1109/KST.2013.6512784

Filename

6512784