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Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence

Open Access
|Sep 2015

References

  1. 1. Turban, E., Aronson, J.E., Liang, T.-P., Decision Support Systems and Intelligent Systems, 7th edition, Prentice-Hall of India, (2006).
  2. 2. Andersson, B., Andersson, R., Ohlsson, M., Nilsson, J., Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks, Pancreatology. Vol. 11, pp. 328-335, (2011).10.1159/00032790321757970
  3. 3. Park, Y., Luo, L., Parhi, K.K., Netoff, T., Seizure prediction with spectral power of EEG using cost-sensitive support vector machines, Epilepsia, Vol. 52, pp. 1761-1770, (2011).10.1111/j.1528-1167.2011.03138.x21692794
  4. 4. Salas-Gonzalez, D., Gorriz, J.M., Ramírez, J, et al., Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees, Phys Med Biol,. Vol. 55, No. 10, pp. 2807-2817, (2010).10.1088/0031-9155/55/10/00220413829
  5. 5. Gorunescu, F., Gorunescu, M., Saftoiu, A., Vilmann, P., Belciug, S., Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection, Expert Systems, Vol. 28, No. 1, pp. 33-44, (2011).10.1111/j.1468-0394.2010.00540.x
  6. 6. Belciug, S., Gorunescu, F., A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence, Expert Systems, Vol. 30, No. 3, pp. 243-254, (2013).10.1111/j.1468-0394.2012.00635.x
  7. 7. Liu, H., Motoda, H., Computational methods of feature selection, Editors eds., Chapman and Hall/CRC, (2007).10.1201/9781584888796
  8. 8. Guyon, I., Gunn, S., Nikravesh, M., Zadeh, L.A., Feature extraction. Foundations and applications, Editors eds., Springer, (2006).10.1007/978-3-540-35488-8
  9. 9. Karabatak, M., Ince, M.C., An expert system for detection of breast cancer based on association rules and neural network, Expert Systems with Applications, Vol. 36, pp. 3465-3469, (2009).10.1016/j.eswa.2008.02.064
  10. 10. Stoean, C., Stoean, R., Lupsor, M., Stefanescu, H., Badea, R., Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis, Computers in Biology and Medicine, Vol. 41, pp. 238-246, (2011).10.1016/j.compbiomed.2011.02.00621419402
  11. 11. Shen, Q., Meia, Z., Ye, B-X., Simultaneous genes and training samples selection by modified particle swarm optimization for gene expression data classification, Computers in Biology and Medicine, Vol. 39, No. 7, pp. 646–649, (2009).10.1016/j.compbiomed.2009.04.00819481202
  12. 12. Marinakis, Y., Dounias, G., Jantzen, J., Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification. Computers in Biology and Medicine, Vol. 39, No. 1, pp. 69–78, (2009).10.1016/j.compbiomed.2008.11.00619147127
  13. 13. Gorunescu, F., Data Mining: Concepts, Models and Techniques, Springer-Verlag, Berlin Heidelberg, (2011).
DOI: https://doi.org/10.1515/aucts-2015-0057 | Journal eISSN: 2668-6449 | Journal ISSN: 1583-7149
Language: English
Page range: 13 - 18
Published on: Sep 23, 2015
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 Smaranda Belciug, Mircea-Sebastian Serbanescu, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.