The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 1, 2010, Pages 79-85

  Tucker, Allan ^a   Garway Heath, David ^b,c  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b MOORFIELDS EYE HOSPITAL   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bootstrapping; Cross section; Data analysis; Glaucoma; Time series

Indexed keywords

ARTIFICIAL TIME SERIES; BOOTSTRAPPING; CROSS SECTION DATA; DATA SETS; EYE DISEASE; INTRA OCULAR PRESSURE; LONGITUDINAL DATA; MULTIPLE SEQUENCES; RESAMPLING TECHNIQUE; RETINAL IMAGE; SYNTHETIC DATA; TEMPORAL MODELS; TIME DIMENSION; VISUAL FIELDS;

ALDEHYDES; DATA HANDLING; OPHTHALMOLOGY; PRESSURE MEASUREMENT; TIME SERIES; VISION;

TIME SERIES ANALYSIS;

ALGORITHM; ARTICLE; CROSS-SECTIONAL STUDY; FACTUAL DATABASE; GLAUCOMA; HUMAN; PHYSIOLOGY; PROBABILITY; PROGNOSIS; REGRESSION ANALYSIS; THEORETICAL MODEL; VISUAL FIELD;

ALGORITHMS; CROSS-SECTIONAL STUDIES; DATABASES, FACTUAL; GLAUCOMA; HUMANS; MARKOV CHAINS; MODELS, THEORETICAL; PROGNOSIS; REGRESSION ANALYSIS; VISUAL FIELDS;

EID: 76849106690     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2023319     Document Type: Conference Paper

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