A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer

Abeer Alzubaidi, David J. Brown 0001, Georgina Cosma, A. Graham Pockley. A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016. pages 1-8, IEEE, 2016. [doi]

@inproceedings{Alzubaidi0CP16,
  title = {A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer},
  author = {Abeer Alzubaidi and David J. Brown 0001 and Georgina Cosma and A. Graham Pockley},
  year = {2016},
  doi = {10.1109/SSCI.2016.7849954},
  url = {http://dx.doi.org/10.1109/SSCI.2016.7849954},
  researchr = {https://researchr.org/publication/Alzubaidi0CP16},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-4240-1},
}