Title :
Artificial Neural Networks in Cancer Recurrence Prediction
Author :
Ritthipravat, Panrasee
Author_Institution :
Biomed. Eng. Programme, Mahidol Univ., Nakornpathom
Abstract :
This paper aims to review the use of artificial neural networks (ANNs) in prediction of cancer recurrence. The sources of publications were randomly selected from PUBMED database, IEEE explore, and the google search engine with the keywords for searching as ldquorecurrencerdquo or ldquorelapserdquo or ldquodisease freerdquo + ldquoneural networkrdquo + ldquocancerrdquo. Increasing of the predictive performance was considered. In addition, handling incomplete data and feature selection techniques usually employed in this application were examined.
Keywords :
cancer; medical information systems; neural nets; search engines; Google search engine; IEEE explore; PUBMED database; artificial neural networks; cancer recurrence prediction; feature selection; incomplete data; predictive performance; Artificial neural networks; Biomedical engineering; Biomedical imaging; Cancer; Diseases; Medical diagnostic imaging; Neural networks; Neurons; Recurrent neural networks; Search engines; cancer recurrence; feature selection; incomplete data; neural networks; relapse;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.84
