Classification algorithms using multiple MRI features in mild traumatic brain injury

Neurology

Volumn 83, Issue 14, 2014, Pages 1235-1240

  Lui, Yvonne W ^a   Xue, Yuanyi ^b   Kenul, Damon ^a   Ge, Yulin ^a   Grossman, Robert I ^a   Wang, Yao ^b  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b POLYTECHNIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANTERIOR CINGULATE; ARTICLE; BAYESIAN LEARNING; BRAIN SIZE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; MAGNETIC FIELD CORRELATION; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PERCEPTRON; PRIORITY JOURNAL; PROSPECTIVE STUDY; RESTING STATE NETWORK; SUPPORT VECTOR MACHINE; THALAMOCORTICAL TRACT; THALAMUS; TRAUMATIC BRAIN INJURY; WHITE MATTER; ALGORITHM; BAYES THEOREM; BRAIN; BRAIN INJURIES; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PILOT STUDY; PROCEDURES; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN INJURIES; DIAGNOSIS, COMPUTER-ASSISTED; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; PILOT PROJECTS; PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; THALAMUS;

EID: 84921770175     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000000834     Document Type: Article

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