A Framework for Ovarian Cancer Diagnosis Based on Amino Acids Using Fuzzy-Rough Sets with SVM

Farid A. Badria, Nora Shoaip, Mohammed Elmogy, A. M. Riad, Hosam Zaghloul. A Framework for Ovarian Cancer Diagnosis Based on Amino Acids Using Fuzzy-Rough Sets with SVM. In Aboul Ella Hassanien, Mohamed F. Tolba, Ahmad Taher Azar, editors, Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings. Volume 488 of Communications in Computer and Information Science, pages 389-400, Springer, 2014. [doi]

@inproceedings{BadriaSERZ14,
  title = {A Framework for Ovarian Cancer Diagnosis Based on Amino Acids Using Fuzzy-Rough Sets with SVM},
  author = {Farid A. Badria and Nora Shoaip and Mohammed Elmogy and A. M. Riad and Hosam Zaghloul},
  year = {2014},
  doi = {10.1007/978-3-319-13461-1_37},
  url = {http://dx.doi.org/10.1007/978-3-319-13461-1_37},
  researchr = {https://researchr.org/publication/BadriaSERZ14},
  cites = {0},
  citedby = {0},
  pages = {389-400},
  booktitle = {Advanced Machine Learning Technologies and Applications - Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings},
  editor = {Aboul Ella Hassanien and Mohamed F. Tolba and Ahmad Taher Azar},
  volume = {488},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-13460-4},
}