Differentiation of two subtypes of adult hydrocephalus by mixture of experts

Journal of Medical Systems

Volumn 34, Issue 3, 2010, Pages 281-290

  Übeyli, Elif Derya ^a   Ilbay, Konuralp ^b   Ilbay, Gul ^b   Sahin, Deniz ^b   Akansel, Gur ^b  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

^b KOCAELI UNIVERSITY   (Turkey)

Author keywords

Aqueductal stenosis; Classification accuracy; Expectation maximization algorithm; Mixture of experts; Normal pressure hydrocephalus

Indexed keywords

ACCURACY; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN AQUEDUCT STENOSIS; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; FEMALE; HUMAN; LEARNING ALGORITHM; MALE; MEDICAL RECORD; NORMOTENSIVE HYDROCEPHALUS; PERCEPTRON; PROBLEM SOLVING; RETROSPECTIVE STUDY; STOCHASTIC MODEL; ADOLESCENT; CLASSIFICATION; EXPERT SYSTEM; HYDROCEPHALUS; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; RECEIVER OPERATING CHARACTERISTIC;

ADOLESCENT; ADULT; AGED; EXPERT SYSTEMS; FEMALE; HUMANS; HYDROCEPHALUS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); RETROSPECTIVE STUDIES; ROC CURVE; YOUNG ADULT;

EID: 77954059589     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9239-4     Document Type: Article

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