The ROC analysis revealed a highly significant AUC difference from 0.5 (null hypothesis) in the discrimination between patients; the diagnostic accuracy was 86%, with an appropriate cutoff value of 1.5; sensitivity was 72%; and specificity reached a value of 91% (see Figure 2 ). 5.
← all excerpts
Paving the Way for Predicting the Progression of Cognitive Decline: The Potential Role of Machine Learning Algorithms in the Clinical Management of Neurodegenerative Disorders.
1
—
—