Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest

Neurobiology of Aging

Volumn 46, Issue , 2016, Pages 180-191

  Huang, Lei ^a   Jin, Yan ^a   Gao, Yaozong ^a   Thung, Kim Han ^a   Shen, Dinggang ^a,b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b Korea University   (South Korea)

Author keywords

Alzheimer's disease; Clinical scores; Longitudinal study; Random forest; Soft split; Sparse representation

Indexed keywords

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; DISEASE COURSE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE PROCESSING; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NEUROIMAGING; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SOFT SPLIT SPARSE REGRESSION BASED RANDOM FOREST; SPARSE REGRESSION BASED RANDOM FOREST FRAMEWORK; VALIDATION STUDY; VOXEL BASED MORPHOMETRY; BRAIN; DIAGNOSTIC IMAGING; DIFFUSION WEIGHTED IMAGING; INFORMATION PROCESSING; LONGITUDINAL STUDY; MACHINE LEARNING; PREDICTIVE VALUE; REGRESSION ANALYSIS; SEVERITY OF ILLNESS INDEX; STATISTICAL MODEL; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; BRAIN; DATASETS AS TOPIC; DIFFUSION MAGNETIC RESONANCE IMAGING; DISEASE PROGRESSION; FEMALE; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; MACHINE LEARNING; MALE; NEUROIMAGING; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; SEVERITY OF ILLNESS INDEX;

EID: 84982735820     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2016.07.005     Document Type: Article

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