An improved self-labeled algorithm for cancer prediction |
I.E. Livieris, E. Pintelas, A. Kanavos and P. Pintelas. An improved self-labeled algorithm for cancer prediction. In Advances in Experimental Medicine and Biology, Springer Verlag, 2018. Abstract - Nowadays, cancer constitutes the second leading cause of death globally. The application of an efficient classification model is considered essential in modern diagnostic medicine in order to assist experts and physicians to make more accurate and early predictions and reduce the rate of mortality. Machine learning techniques are being broadly utilized for the development of intelligent computational systems, exploiting the recent advances in digital technologies and the significant storage capabilities of electronic media. Ensemble learning algorithms and semi-supervised |