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P1‐232: MACHINE LEARNING ON BLOOD MICROARRAY DATA ACCURATELY PREDICTS CLINICAL DEMENTIA RATING
Author(s) -
Miller Justin,
Kauwe John
Publication year - 2019
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2019.06.787
Subject(s) - bonferroni correction , dementia , analysis of variance , clinical dementia rating , neuroimaging , repeated measures design , disease , psychology , medicine , artificial intelligence , oncology , neuroscience , computer science , statistics , mathematics
P1-231 SENSITIVITY OFATN CRITERIA IN AUTOPSY-CONFIRMED NON-AMNESTIC ALZHEIMER’S DISEASE Jeffrey S. Phillips, David Irwin, Emily Roll, Corey T. McMillan, Fulvio Da Re, Eddie B. Lee, Leslie M. Shaw, John Q. Trojanowski, David A. Wolk, Murray Grossman, Penn FTD Center, University of Pennsylvania, Philadelphia, PA, USA; Penn FTD Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; PhD Program in Neuroscience, University of Milano-Bicocca, Milan, Italy; School of Medicine and Surgery, Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA. Contact e-mail: jefphi@pennmedicine.upenn.edu