High-order multi-task feature learning to identify longitudinal phenotypic markers for Alzheimer's disease progression prediction

Advances in Neural Information Processing Systems

Volumn 2, Issue , 2012, Pages 1277-1285

  Wang, Hua ^a   Nie, Feiping ^a   Huang, Heng ^a   Yan, Jingwen ^b   Kim, Sungeun ^b   Risacher, Shannon L ^b   Saykin, Andrew J ^b   Shen, Li ^b  

^a University of Texas at Arlington   (United States)

^b INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; COGNITIVE FUNCTIONS; COGNITIVE PERFORMANCE; LONGITUDINAL IMAGING; NEURODEGENERATIVE DISORDERS; PHENOTYPIC MARKERS; PREDICTION ACCURACY; TEMPORAL CORRELATIONS;

REGRESSION ANALYSIS;

EID: 84877779785     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

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