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  • Материалы Международной научной конференции "Аналитические и вычислительные методы в теории вероятностей и ее приложениях", Data mining in predicting neuro-developmental scores from EEG data during coma due to cerebral malaria, 2017, стр. 380 -383

Book

Материалы Международной научной конференции "Аналитические и вычислительные методы в теории вероятностей и ее приложениях", Data mining in predicting neuro-developmental scores from EEG data during coma due to cerebral malaria, 2017, стр. 380 -383

RUDN, 2017.
Veretennikova M., Sikorskii A., Boivin M.

In this research we compare the performance of different data mining techniques in the analysis of electroencephalogram (EEG) data. We study the question od predicting post-comatose neuro-developmental scores based mainly on statistical features of the EEG recordings. We compare results from applying different data mining techniques, such as the Elastic Net, Lasso, Gaussian Support Vector Regression and Random Forest Regression. We also compare the results produced with different matrix completion methods.

Материалы Международной научной конференции "Аналитические и вычислительные методы в теории вероятностей и ее приложениях", Data mining in predicting neuro-developmental scores from EEG data during coma due to cerebral malaria, 2017, стр. 380 -383