Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging

Pain

Volumn 155, Issue 5, 2014, Pages 864-867

  Rosa, Maria Joao ^a,b,c   Seymour, Ben ^b,d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOENGINEERING; BRAIN DEPTH STIMULATION; CLINICAL FEATURE; HUMAN; MACHINE LEARNING; METHODOLOGY; NEUROBIOLOGY; NEUROIMAGING; NEUROSCIENCE; NOCICEPTION; PAIN; PAIN ASSESSMENT; PRIORITY JOURNAL; REVIEW; ALGORITHM; ARTIFICIAL INTELLIGENCE; BRAIN; FUNCTIONAL NEUROIMAGING; PATHOPHYSIOLOGY; PROCEDURES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; FUNCTIONAL NEUROIMAGING; HUMANS; PAIN;

EID: 84898598812     PISSN: 03043959     EISSN: 18726623     Source Type: Journal    
DOI: 10.1016/j.pain.2014.02.013     Document Type: Review

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