A treatment outcome prediction model of visual field recovery using self-organizing maps

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 3, 2009, Pages 572-581

  Guenther, Tobias ^a,b   Mueller, Iris ^a   Preuss, Markus ^a,c   Kruse, Rudolf ^a   Sabel, Bernhard A ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b Elaspix UG   (Germany)

^c UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Hemianopia; Intraindividual prediction; Self organizing map (SOM); Treatment outcome prediction model (TOPM)

Indexed keywords

A-PRIORI; BRAIN INJURIES; DATA EXPLORATIONS; DATA POOLS; DETECTABILITY; DIAGNOSTIC PROCEDURES; HEMIANOPIA; INTRAINDIVIDUAL PREDICTION; NEAREST NEIGHBOR CLASSIFIERS; RECEIVER OPERATING CHARACTERISTICS; SELF-ORGANIZING MAP (SOM); TREATMENT OUTCOME PREDICTION MODEL (TOPM); VISUAL FIELD DEFECTS; VISUAL FIELDS; VISUAL STIMULATIONS; VISUAL STIMULUS; VISUAL SYSTEMS;

CLASSIFIERS; CONFORMAL MAPPING; LEARNING SYSTEMS; MATHEMATICAL MODELS; RESTORATION; STRENGTH OF MATERIALS; VISION;

SELF ORGANIZING MAPS;

ACCURACY; ARTICLE; AUDIOVISUAL EQUIPMENT; BRAIN DAMAGE; CLASSIFIER; CONVALESCENCE; DIAGNOSTIC PROCEDURE; EXPERIMENTAL MODEL; HUMAN; MAJOR CLINICAL STUDY; MEDICINE; PERIMETRY; PREDICTIVE VALIDITY; RECEIVER OPERATING CHARACTERISTIC; SELF CONCEPT; STROKE; TOPOGRAPHY; TRAUMATIC BRAIN INJURY; TREATMENT OUTCOME; TREATMENT OUTCOME PREDICTION MODEL; VISION; VISUAL FIELD; VISUAL IMPAIRMENT; VISUAL STIMULATION; VISUAL SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEMIANOPSIA; HUMANS; MODELS, BIOLOGICAL; PERIMETRY; PHOTIC STIMULATION; PREDICTIVE VALUE OF TESTS; RECOVERY OF FUNCTION; REPRODUCIBILITY OF RESULTS; ROC CURVE; TREATMENT OUTCOME; VISUAL FIELDS;

EID: 65349180898     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.2009995     Document Type: Article

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