Tag Archives: logistic regression model
A machine learning approach to the differentiation of fMRI data of CFS from a sedentary control
A machine learning approach to the differentiation of Functional Magnetic Resonance Imaging data of Chronic Fatigue Syndrome (CFS) from a sedentary control, by Destie Provenzano, Stuart D Washington and James N Baraniuk in Front. Comput. Neurosci., 29 January 2020 [https://doi.org/10.3389/fncom.2020.00002] … Continue reading →
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Tagged Destie Provenzano, diagnostic marker, Dr James N Baraniuk, fMRI, functional magnetic resonance imaging, logistic regression model, machine learning, Stuart D Washington
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