Artificial Neural Networks in Cancer Recurrence Prediction

作者: Panrasee Ritthipravat

DOI: 10.1109/ICCET.2009.84

关键词:

摘要: This paper aims to review the use of artificial neural networks (ANNs) in prediction cancer recurrence. The sources publications were randomly selected from PUBMED database, IEEE explore, and google search engine with keywords for searching as “recurrence” or “relapse” “disease free” + “neural network” “cancer”. Increasing predictive performance was considered. In addition, handling incomplete data feature selection techniques usually employed this application examined.

参考文章(26)
Poh Lian Choong, C.J.S. deSilva, Y. Attikiouzel, Predicting local and distant metastasis for breast cancer patients using the Bayesian neural network international conference on digital signal processing. ,vol. 1, pp. 83- 88 ,(1997) , 10.1109/ICDSP.1997.627974
Amir R. Razavi, Hans Gill, Hans Åhlfeldt, Nosrat Shahsavar, A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining Artificial Intelligence in Medicine. pp. 434- 443 ,(2005) , 10.1007/11527770_59
Joseph A. Cruz, David S. Wishart, Applications of Machine Learning in Cancer Prediction and Prognosis Cancer Informatics. ,vol. 2, pp. 59- 77 ,(2006) , 10.1177/117693510600200030
José M. Jerez, José L. Subirats, Ignacio Molina, Leonardo Franco, Missing data imputation in breast cancer prognosis international conference on biomedical engineering. pp. 323- 328 ,(2006)
S De Placido, M De Laurentiis, A R Bianco, P M Ravdin, G M Clark, A prognostic model that makes quantitative estimates of probability of relapse for breast cancer patients. Clinical Cancer Research. ,vol. 5, pp. 4133- 4139 ,(1999)
Edgar Acuña, Caroline Rodriguez, The Treatment of Missing Values and its Effect on Classifier Accuracy Springer, Berlin, Heidelberg. pp. 639- 647 ,(2004) , 10.1007/978-3-642-17103-1_60
Ioannis Anagnostopoulos, Ilias Maglogiannis, Neural network-based diagnostic and prognostic estimations in breast cancer microscopic instances. Medical & Biological Engineering & Computing. ,vol. 44, pp. 773- 784 ,(2006) , 10.1007/S11517-006-0079-4
Lian Yan, David Verbel, Olivier Saidi, Predicting prostate cancer recurrence via maximizing the concordance index knowledge discovery and data mining. pp. 479- 485 ,(2004) , 10.1145/1014052.1014106
V. Sanguineti, A. Schenone, P. Morasso, L. Andreucci, E. Margallo, M. Margiocco, A neural predictor for recurrence of breast cancer international conference of the ieee engineering in medicine and biology society. ,vol. 3, pp. 1008- 1009 ,(1992) , 10.1109/IEMBS.1992.5761226