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The Use of Random Forests to Identify Brain Regions on Amyloid and FDG PET Associated With MoCA Score
Conclusions Random forests help pinpoint clinically relevant ROIs associated with MoCA score; amyloid increased and 18F-FDG decreased with decreasing MoCA score, most significantly in the posterior cingulate gyrus.
Source: Clinical Nuclear Medicine - May 8, 2020 Category: Nuclear Medicine Tags: Original Article Source Type: research

The Use of Random Forests to Classify Amyloid Brain PET
Conclusions Random forests can classify brain PET as positive or negative for amyloid deposition and suggest key clinically relevant, regional features for classification.
Source: Clinical Nuclear Medicine - September 11, 2019 Category: Nuclear Medicine Tags: Original Articles Source Type: research