Research of Data Mining on the Post-Treatment Survival Period Prediction of Colorectal Cancer
作者： Xiufeng Liu , Zhenhu Chen
DOI: 10.1007/978-1-4471-4856-2_33
关键词:
摘要: This paper highlighted the basic situation of colorectal cancer and introduced key technologies data mining, then summarized medical applications mining technologies, finally discussed use technology in cancer, especially research. Prospect prediction post-treatment has been proposed.
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sci-hub.st 参考文章(22)
A. Kusiak, Data Mining: Medical and Engineering Case Studies ,(2000)
Carolin Tonus, Colorectal cancer screening by non-invasive metabolic biomarker fecal tumor M2-PK World Journal of Gastroenterology. ,vol. 12, pp. 7007- 7011 ,(2006) , 10.3748/WJG.V12.I43.7007
Alex A. Freitas, Celia C. Bojarczuk, Heitor S. Lopes, Data Mining with Constrained-syntax Genetic Programming: Applications in Medical Data Sets ,(2001)
Margaret H. Dunham, Data mining introductory and advanced topics ,(2003)
Fraser M Smith, William M Gallagher, Edward Fox, Richard B Stephens, Elton Rexhepaj, Emanuel F Petricoin 3rd, Lance Liotta, M John Kennedy, John V Reynolds, None, Combination of SELDI-TOF-MS and Data Mining Provides Early-stage Response Prediction for Rectal Tumors Undergoing Multimodal Neoadjuvant Therapy Annals of Surgery. ,vol. 245, pp. 259- 266 ,(2007) , 10.1097/01.SLA.0000245577.68151.BD
Wei Yu, Huajia Zhang, Kuanheng Wu, Qiangqian Lin, Miao He, Hierarchical Clustering of Lung Cancer Related Genes international conference on bioinformatics and biomedical engineering. pp. 63- 65 ,(2008) , 10.1109/ICBBE.2008.22
Michael R. Anderberg, Cluster Analysis for Applications ,(1973)
Wray Buntine, Learning classification trees Statistics and Computing. ,vol. 2, pp. 63- 73 ,(1992) , 10.1007/BF01889584
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Zaïane, Application of data mining techniques for medical image classification acm multimedia. pp. 94- 101 ,(2001)
Rakesh Agrawal, Tomasz Imieliński, Arun Swami, Mining association rules between sets of items in large databases Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. ,vol. 22, pp. 207- 216 ,(1993) , 10.1145/170035.170072