Treating colon cancer survivability prediction as a classification problem

Ana Silva; Tiago Oliveira; José Carlos Ferreira Maia Neves; Paulo Novais

Ayuda

Treating colon cancer survivability prediction as a classification problem

SILVA, Ana ^[1] ; OLIVEIRA, Tiago ; NEVES, José ^[1] ; NOVAIS, Paulo ^[1]
1. [1] Universidade do Minho
  
  Universidade do Minho
  
  Braga (São José de São Lázaro), Portugal
Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 5, Nº. 1, 2016, págs. 37-50
Idioma: inglés
DOI: 10.14201/ADCAIJ2016513750
Enlaces
- Texto completo
Resumen
- This work presents a survivability prediction model for colon cancer developed with machine learning techniques. Survivability was viewed as a classification task where it was necessary to determine if a patient would survive each of the five years following treatment. The model was based on the SEER dataset which, after preprocessing, consisted of 38,592 records of colon cancer patients. Six features were extracted from a feature selection process in order to construct the model. This model was compared with another one with 18 features indicated by a physician. The results show that the performance of the six-feature model is close to that of the model using 18 features, which indicates that the first may be a good compromise between usability and performance.
Referencias bibliográficas
- Al-Bahrani, R., Agrawal, A., and Choudhary, A., 2013. Colon cancer survival prediction using ensemble data mining on SEER data. In 2013 IEEE...
- Bradley, A. P., 1997. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7):1145–1159....
- Breiman, L., 1996. Bagging Predictors. Machine Learning, 24(2):123–140. ISSN 1573-0565. http://dx.doi.org/10.1023/A: 1018054314350.
- Bush, D. M. and Michaelson, J. S., 2009. Derivation : Nodes + PrognosticFactors Equation for Colon Cancer accuracy of the Nodes +...
- Carneiro, D., Costa, R., Novais, P., Neves, J., Machado, J., and Neves, J., 2008. Simulating and Monitoring Ambient Assisted Living. In Proceedings...
- Le Havre. Chang, G. J., Hu, C. Y., Eng, C., and et al., 2009. Practical application of a calculator for conditional survival in colon cancer....
- Chawla, N. V., 2005. Data Mining for Imbalanced Datasets: An Overview. In Data Mining and Knowledge Discovery Handbook, pages 853–867. ISBN...
- Costa, A., Novais, P., Corchado, J. M., and Neves, J., 2011. Increased performance and better patient attendance in an hospital with the use...
- http://dx.doi.org/10.1093/jigpal/jzr021
- Džeroski, S. and Ženko, B., 2004. Is Combining Classifiers with Stacking Better than Selecting the Best One? Machine Learning, 54(3):255–273....
- Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., and Bray, F., 2012. GLOBOCAN...
- Freund, Y. and Schapire, R. E., 1997. A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst....
- Ganganwar, V., 2012. An overview of classification algorithms for imbalanced datasets. Int. J. Emerg. Technol. Adv. Eng, 2(4):42–47. ISSN...
- Han, J., Pei, J., and Kamber, M., 2006. Data Mining, Southeast Asia Edition. The Morgan Kaufmann Series in Data Management Systems. Elsevier...
- Kittler, J., 1998. Combining classifiers: A theoretical framework. Pattern Analysis and Applications, 1(1):18–27. ISSN 1433-755X. doi:10.1007/BF01238023.
- http://dx.doi.org/10.1007/BF01238023
- Klepac, G., Klepac, G., Kopal, R., and Mri, L., 2014. Developing Churn Models Using Data Mining Techniques and Social Network Analysis. IGI...
- Kotu, V. and Deshpande, B., 2014. Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner. Elsevier Science. ISBN 9780128016503.
- Leon, M. R. C. D. and Jalao, E. R. L., 2014. Prediction Model Framework for Imbalanced Datasets. (c):33–41.
- Lima, L., Novais, P., Neves, J., Bulas, C. J., and Costa, R., 2011. Group Decision Making and Quality-of- Information in e-Health Systems....
- Novais, P., Oliveira, T., and Neves, J., 2016. Moving towards a new paradigm of creation, dissemination, and application of computer-interpretable...
- Oliveira, T., Leão, P., Novais, P., and Neves, J., 2014. Webifying the Computerized Execution of Clinical Practice Guidelines. In Bajo Perez,...
- http://dx.doi.org/10.1007/978-3-319-07476-4_18
- Vachani, C. and Prechtel-Dunphy, E., 2015. All About Rectal Cancer. Last visited on 27/12/2015.
- Weiser, M. R., Gönen, M., Chou, J. F., Kattan, M. W., and Schrag, D., 2011. Predicting survival after curative colectomy for cancer: Individualizing...
- Wolff, A. C., Hammond, M. E. H., Schwartz, J. N., and et al., 2007. American Society of Clinical Oncology/College of American Pathologists...
- Yamauchi, M., Lochhead, P., Morikawa, T., Huttenhower, C., Chan, A. T., Giovannucci, E., Fuchs, C. S., and Ogino, S., 2012. Colorectal cancer:...