Rule-based Classification of Visual Field Defects

Enkelejda Kasneci; Gjergji Kasneci; Ulrich Schiefer; Wolfgang Rosenstiel

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Paper

Rule-based Classification of Visual Field Defects

Topics: Clinical Problems and Applications; Decision Support Systems; Development of Assistive Technology; Pattern Recognition and Machine Learning

In Proceedings of the International Conference on Health Informatics - Volume 0BIOSTEC, 34-42, 2014 , ESEO, Angers, Loire Valley, France

Authors: Enkelejda Kasneci ¹ ; Gjergji Kasneci ² ; Ulrich Schiefer ¹ and Wolfgang Rosenstiel ¹

Affiliations: ¹ University of Tübingen, Germany ; ² Hasso-Plattner-Institute, Germany

Keyword(s): Scotoma, Rule-based, Classification, Visual Field, Defect.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Clinical Problems and Applications ; Decision Support Systems ; Development of Assistive Technology ; Health Information Systems ; Pattern Recognition and Machine Learning

Abstract: The automated recognition of the visual field defect type from results of visual field testing is crucial for the adequate diagnosis and treatment of the underlying disease of the visual system. This paper presents a reliable rule-based classifier that emulates the decision strategies of expert ophthalmologists based on a two-level approach that combines methods of unsupervised learning.

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Paper citation in several formats:

Kasneci, E.; Kasneci, G.; Schiefer, U. and Rosenstiel, W. (2014). Rule-based Classification of Visual Field Defects. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF; ISBN 978-989-758-010-9; ISSN 2184-4305, SciTePress, pages 34-42. DOI: 10.5220/0004746200340042

@conference{healthinf14,
author={Enkelejda Kasneci. and Gjergji Kasneci. and Ulrich Schiefer. and Wolfgang Rosenstiel.},
title={Rule-based Classification of Visual Field Defects},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF},
year={2014},
pages={34-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004746200340042},
isbn={978-989-758-010-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF
TI - Rule-based Classification of Visual Field Defects
SN - 978-989-758-010-9
IS - 2184-4305
AU - Kasneci, E.
AU - Kasneci, G.
AU - Schiefer, U.
AU - Rosenstiel, W.
PY - 2014
SP - 34
EP - 42
DO - 10.5220/0004746200340042
PB - SciTePress