Cite
The transferal of evidences derived from clinical research to single patient level: Automatic distinction of normal elderly vs. mild cognitive impairment subjects by resting EEG data processed by IFAST, a novel intelligent system.
MLA
Rossini, P. M., et al. “The Transferal of Evidences Derived from Clinical Research to Single Patient Level: Automatic Distinction of Normal Elderly vs. Mild Cognitive Impairment Subjects by Resting EEG Data Processed by IFAST, a Novel Intelligent System.” NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, Jan. 2008, pp. 1–7. EBSCOhost, https://doi.org/10.1109/NAFIPS.2008.4531287.
APA
Rossini, P. M., Buscema, M., & Grossi, E. (2008). The transferal of evidences derived from clinical research to single patient level: Automatic distinction of normal elderly vs. mild cognitive impairment subjects by resting EEG data processed by IFAST, a novel intelligent system. NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, 1–7. https://doi.org/10.1109/NAFIPS.2008.4531287
Chicago
Rossini, P.M., M. Buscema, and E. Grossi. 2008. “The Transferal of Evidences Derived from Clinical Research to Single Patient Level: Automatic Distinction of Normal Elderly vs. Mild Cognitive Impairment Subjects by Resting EEG Data Processed by IFAST, a Novel Intelligent System.” NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, January, 1–7. doi:10.1109/NAFIPS.2008.4531287.