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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/13/7/1074 |
| _version_ | 1797588705449345024 |
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| author | Piotr Wąż Katarzyna Zorena Anna Murawska Dorota Bielińska-Wąż |
| author_facet | Piotr Wąż Katarzyna Zorena Anna Murawska Dorota Bielińska-Wąż |
| author_sort | Piotr Wąż |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T00:55:48Z |
| format | Article |
| id | doaj.art-804fa533d1654900bb6c9ce22acb353c |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-11T00:55:48Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-804fa533d1654900bb6c9ce22acb353c2023-11-18T20:03:10ZengMDPI AGJournal of Personalized Medicine2075-44262023-06-01137107410.3390/jpm13071074Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular DegenerationPiotr Wąż0Katarzyna Zorena1Anna Murawska2Dorota Bielińska-Wąż3Department of Nuclear Medicine, Medical University of Gdańsk, 80-210 Gdańsk, PolandDepartment of Immunobiology and Environment Microbiology, Medical University of Gdańsk, 80-210 Gdańsk, PolandDepartment of Immunobiology and Environment Microbiology, Medical University of Gdańsk, 80-210 Gdańsk, PolandDepartment of Radiological Informatics and Statistics, Medical University of Gdańsk, 80-210 Gdańsk, PolandObjective: 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.https://www.mdpi.com/2075-4426/13/7/1074eye diseaseage-related macular degenerationmathematical modelingmolecular similaritydescriptors |
| spellingShingle | Piotr Wąż Katarzyna Zorena Anna Murawska Dorota Bielińska-Wąż Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration Journal of Personalized Medicine eye disease age-related macular degeneration mathematical modeling molecular similarity descriptors |
| 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 | eye disease age-related macular degeneration mathematical modeling molecular similarity descriptors |
| url | https://www.mdpi.com/2075-4426/13/7/1074 |
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