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    • The use of random forests to classify amyloid brain PET 

      Zukotynski, Katherine; Gaudet, Vincent C.; Kuo, Phillip H.; Adamo, Sabrina; Goubran, Maged; Scott, Christopher; Bocti, Christian; Borrie, Michael; Chertkow, Howard; Frayne, Richard; Hsiung, Robin; Laforce, Robert; Noseworthy, Michael D.; Prato, Frank S.; Sahlas, Demetrios J.; Smith, Eric E.; Sossi, Vesna; Thiel, Alexander; Soucy, Jean-Paul; Tardif, Jean-Claude; Black, Sandra E. (Wolters Kluwer Health, 2019-10)
      Purpose: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amyloid brain PET as positive or negative for amyloid deposition and identify key regions of interest for stratification. Methods: ...


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