DocumentCode
2499674
Title
Artificial Neural Network Prediction for Cancer Survival Time by Gene Expression Data
Author
Chen, Yen-Chen ; Yang, Wen-Wen ; Chiu, Hung-Wen
Author_Institution
Grad. Inst. of Biomed. Inf., Taipei Med. Univ., Taipei, Taiwan
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
This study aimed at training artificial neural networks (ANN) to predict survival time in cancer patients by using microarray and clinical data. We analyzed public microarrays and clinical data sets in different kinds of cancer. We selected 15-30 genes (correlation coefficient>0.4) as ANN variables to train networks. The results shows ANN can predict survival time from Microarray data gene expression and the prediction made by the proposed neural models show a good agreement with the measurements.
Keywords
cancer; genetics; lab-on-a-chip; learning (artificial intelligence); medical computing; tumours; ANN training; artificial neural network; cancer survival time prediction; microarray data gene expression; Artificial neural networks; Biomedical informatics; Cancer; Data analysis; Data preprocessing; Diseases; Flowcharts; Gene expression; Humans; Medical diagnostic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162409
Filename
5162409
Link To Document