The differential diagnosis of multiple sclerosis using convex combination of infinite kernels

CNS and Neurological Disorders - Drug Targets

Volumn 16, Issue 1, 2017, Pages 36-43

  Karaca, Yeliz ^a   Zhang, Yu Dong ^b   Cattani, Carlo ^a   Ayan, Ugur ^c  

^a UNIVERSITY OF TUSCIA   (Italy)

^b NANJING NORMAL UNIVERSITY   (China)

^c SCIENTIFIC AND TECHNOLOGICAL RESEARCH COUNCIL OF TURKEY   (Turkey)

Author keywords

Clinical decision support; Infinite kernel classification; Multiple sclerosis; Patient diagnostic

Indexed keywords

ADULT; ARTIFICIAL NEURAL NETWORK; ATROPHY; CLINICAL DECISION SUPPORT SYSTEM; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DIFFERENTIAL DIAGNOSIS; ELECTRON SPIN RESONANCE; EXPANDED DISABILITY STATUS SCALE; FEMALE; HUMAN; KERNEL METHOD; LUMBAR PUNCTURE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL PARAMETERS; MIDDLE AGED; MULTIPLE SCLEROSIS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; REVIEW; SUPPORT VECTOR MACHINE; ALGORITHM; BIOLOGICAL MODEL; COMPLICATION; DIAGNOSTIC IMAGING; DISABILITY; NONLINEAR SYSTEM; YOUNG ADULT;

ADULT; ALGORITHMS; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, DIFFERENTIAL; DISABILITY EVALUATION; FEMALE; HEALTHY VOLUNTEERS; HUMANS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MULTIPLE SCLEROSIS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; SUPPORT VECTOR MACHINE; YOUNG ADULT;

EID: 85011016175     PISSN: 18715273     EISSN: 19963181     Source Type: Journal    
DOI: 10.2174/1871527315666161024142439     Document Type: Review

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