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Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration
Objective: A new diagnostic graphical tool—classification maps—supporting the detection of Age-Related Macular Degeneration (AMD) has been constructed. Methods: The classification maps are constructed using the ordinal regression model. In the ordinal regression model, the ordinal variable (the depe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381320/ https://www.ncbi.nlm.nih.gov/pubmed/37511686 http://dx.doi.org/10.3390/jpm13071074 |
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author | Wąż, Piotr Zorena, Katarzyna Murawska, Anna Bielińska-Wąż, Dorota |
author_facet | Wąż, Piotr Zorena, Katarzyna Murawska, Anna Bielińska-Wąż, Dorota |
author_sort | Wąż, Piotr |
collection | PubMed |
description | Objective: A new diagnostic graphical tool—classification maps—supporting the detection of Age-Related Macular Degeneration (AMD) has been constructed. Methods: The classification maps are constructed using the ordinal regression model. In the ordinal regression model, the ordinal variable (the dependent variable) is the degree of the advancement of AMD. The other variables, such as CRT (Central Retinal Thickness), GCC (Ganglion Cell Complex), MPOD (Macular Pigment Optical Density), ETDRS (Early Treatment Diabetic Retinopathy Study), Snellen and Age have also been used in the analysis and are represented on the axes of the maps. Results: Here, 132 eyes were examined and classified to the AMD advancement level according to the four-point Age-Related Eye Disease Scale (AREDS): AREDS 1, AREDS 2, AREDS 3 and AREDS 4. These data were used for the creation of two-dimensional classification maps for each of the four stages of AMD. Conclusions: The maps allow us to perform the classification of the patient’s eyes to particular stages of AMD. The pairs of the variables represented on the axes of the maps can be treated as diagnostic identifiers necessary for the classification to particular stages of AMD. |
format | Online Article Text |
id | pubmed-10381320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103813202023-07-29 Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration Wąż, Piotr Zorena, Katarzyna Murawska, Anna Bielińska-Wąż, Dorota J Pers Med Article Objective: A new diagnostic graphical tool—classification maps—supporting the detection of Age-Related Macular Degeneration (AMD) has been constructed. Methods: The classification maps are constructed using the ordinal regression model. In the ordinal regression model, the ordinal variable (the dependent variable) is the degree of the advancement of AMD. The other variables, such as CRT (Central Retinal Thickness), GCC (Ganglion Cell Complex), MPOD (Macular Pigment Optical Density), ETDRS (Early Treatment Diabetic Retinopathy Study), Snellen and Age have also been used in the analysis and are represented on the axes of the maps. Results: Here, 132 eyes were examined and classified to the AMD advancement level according to the four-point Age-Related Eye Disease Scale (AREDS): AREDS 1, AREDS 2, AREDS 3 and AREDS 4. These data were used for the creation of two-dimensional classification maps for each of the four stages of AMD. Conclusions: The maps allow us to perform the classification of the patient’s eyes to particular stages of AMD. The pairs of the variables represented on the axes of the maps can be treated as diagnostic identifiers necessary for the classification to particular stages of AMD. MDPI 2023-06-29 /pmc/articles/PMC10381320/ /pubmed/37511686 http://dx.doi.org/10.3390/jpm13071074 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wąż, Piotr Zorena, Katarzyna Murawska, Anna Bielińska-Wąż, Dorota Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title | Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title_full | Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title_fullStr | Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title_full_unstemmed | Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title_short | Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration |
title_sort | classification maps: a new mathematical tool supporting the diagnosis of age-related macular degeneration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381320/ https://www.ncbi.nlm.nih.gov/pubmed/37511686 http://dx.doi.org/10.3390/jpm13071074 |
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