Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers

PLoS ONE

Volumn 7, Issue 3, 2012, Pages

  Zhang, Daoqiang ^a,b   Shen, Dinggang ^a  

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

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ACCURACY; ADULT; AGED; ALZHEIMER DISEASE; ALZHEIMER DISEASE ASSESSMENT SCALE COGNITIVE SUBSCALE SCORE; ARTICLE; BRAIN RADIOGRAPHY; BRAIN REGION; CLASSIFICATION ALGORITHM; CLINICAL EVALUATION; CONTROLLED STUDY; DISEASE MARKER; FEMALE; HUMAN; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PREDICTION; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; BRAIN; COGNITIVE DEFECT; DISEASE COURSE; HOSPITALIZATION; NEUROPSYCHOLOGICAL TEST; PATHOLOGY; SCINTISCANNING; VALIDATION STUDY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; BRAIN; COGNITION DISORDERS; DISEASE PROGRESSION; FEMALE; HUMANS; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; NEUROPSYCHOLOGICAL TESTS; POSITRON-EMISSION TOMOGRAPHY; SEVERITY OF ILLNESS INDEX;

EID: 84863351725     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0033182     Document Type: Article

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