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
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;
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
DOI :
10.1109/ICBBE.2009.5162409
