Domain Transfer Learning for MCI Conversion Prediction

IEEE Transactions on Biomedical Engineering

Volumn 62, Issue 7, 2015, Pages 1805-1817

  Cheng, Bo ^a   Liu, Mingxia ^a   Zhang, Daoqiang ^a   Munsell, Brent C ^b   Shen, Dinggang ^c,d  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b Department of Teacher Education and Department of Sociology and Anthropology   (United States)

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

^d Korea University   (South Korea)

Author keywords

Alzheimer's Disease; Domain Transfer Learning; Feature Selection; Mild Cognitive Impairment Converters; Sample Selection

Indexed keywords

FEATURE EXTRACTION; FORECASTING; LEARNING SYSTEMS; MACHINE COMPONENTS; NEURODEGENERATIVE DISEASES; NEUROIMAGING;

ALZHEIMER'S DISEASE; DOMAIN TRANSFERS; MACHINE LEARNING METHODS; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI); PREDICTION PERFORMANCE; SAMPLE SELECTION; SUPPORT VECTOR MACHINE CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

FLUORODEOXYGLUCOSE F 18;

AGED; ARTICLE; BRAIN REGION; CLASSIFIER; CLINICAL DEMENTIA RATING; CONTROLLED STUDY; DIAGNOSIS; DIAGNOSTIC ACCURACY; DISEASE COURSE; DOMAIN TRANSFER LEARNING; HUMAN; K NEAREST NEIGHBOR; MACHINE LEARNING; MAJOR CLINICAL STUDY; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; SUPPORT VECTOR MACHINE; WECHSLER MEMORY SCALE; ALZHEIMER DISEASE; CASE CONTROL STUDY; COGNITIVE DYSFUNCTION; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; MIDDLE AGED; PATHOLOGY; PROCEDURES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; CASE-CONTROL STUDIES; COGNITIVE DYSFUNCTION; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MIDDLE AGED; NEUROIMAGING;

EID: 84933053884     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2404809     Document Type: Article

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