Clinical Correlates of Computationally Derived Visual Field Defect Archetypes in Patients from a Glaucoma Clinic

Current Eye Research

Volumn 42, Issue 4, 2017, Pages 568-574

  Cai, Sophie ^a   Elze, Tobias ^b,c   Bex, Peter J ^b,d   Wiggs, Janey L ^a   Pasquale, Louis R ^a,e   Shen, Lucy Q ^a  

^a MASSACHUSETTS EYE AND EAR INFIRMARY   (United States)

^b SCHEPENS EYE RESEARCH INSTITUTE   (United States)

^c MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

^d NORTHEASTERN UNIVERSITY   (United States)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Archetype; glaucoma; machine learning; statistical models; visual field

Indexed keywords

ADULT; AGED; ARTICLE; BEST CORRECTED VISUAL ACUITY; CEREBROVASCULAR ACCIDENT; CLINICAL FEATURE; CONTROLLED STUDY; DECOMPOSITION; ELECTRONIC MEDICAL RECORD; FEMALE; GLAUCOMA; HEMIANOPIA; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PRIORITY JOURNAL; PTOSIS; VISUAL FIELD; VISUAL FIELD DEFECT; CLASSIFICATION; GLAUCOMA, OPEN-ANGLE; INTRAOCULAR PRESSURE; MACHINE LEARNING; OPTIC DISK; OPTIC NERVE DISEASES; PATHOLOGY; PERIMETRY; PHYSIOLOGY; RETROSPECTIVE STUDY; STATISTICAL MODEL; VALIDATION STUDY; VERY ELDERLY; VISION DISORDERS; VISUAL ACUITY;

AGED; AGED, 80 AND OVER; FEMALE; GLAUCOMA, OPEN-ANGLE; HUMANS; INTRAOCULAR PRESSURE; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, STATISTICAL; OPTIC DISK; OPTIC NERVE DISEASES; RETROSPECTIVE STUDIES; VISION DISORDERS; VISUAL ACUITY; VISUAL FIELD TESTS; VISUAL FIELDS;

EID: 84982812555     PISSN: 02713683     EISSN: 14602202     Source Type: Journal    
DOI: 10.1080/02713683.2016.1205630     Document Type: Article

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