The prognosis of the diabetic retinopathy using computer science and biotechnology
The problem of diabetic retinopathy causes loss of the vision. In nowadays, modern equipment is used to diagnose this disease: an optical coherent tomograph and a fundus microperimeter. For even more accurate diagnosis, biomarker levels in the lacrimal fluid and blood serum are being researched. The...
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2020-01-01
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doaj-bce82e5d598c4ce88f590b503c7ecd832021-04-02T16:55:23ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012030102810.1051/e3sconf/202020301028e3sconf_ebwff2020_01028The prognosis of the diabetic retinopathy using computer science and biotechnologyVorobyeva Irina0Russian Medical Academy of Continuous Professional EducationThe problem of diabetic retinopathy causes loss of the vision. In nowadays, modern equipment is used to diagnose this disease: an optical coherent tomograph and a fundus microperimeter. For even more accurate diagnosis, biomarker levels in the lacrimal fluid and blood serum are being researched. The mathematical model for predicting the developing of the course of the disease is proposed. The mathematical model is based on four mathematical criteria. The first two criteria analyze the data of digital equipment: the thickness of the retina in 9 zones and the photosensitivity of the macula. The third and the fourth mathematical criteria analyze the levels of pathogenetic biomarkers in the lacrimal fluid (vascular endothelial growth factor VEGF-A) and the blood serum (glycated hemoglobin). The program based on the proposed mathematical formulas combines the objective data from the digital equipment and the biomarkers. The program gives the possibility for the automatic prediction of developing the diabetic retinopathy. The prognosis of development of the course of the disease according to the program coincides with a clinical prognosis of a doctor. It was shown that the application of the proposed complex approach gives more opportunities in comparison with separate studies of the biomarkers, morphology and retinal function.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/63/e3sconf_ebwff2020_01028.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vorobyeva Irina |
spellingShingle |
Vorobyeva Irina The prognosis of the diabetic retinopathy using computer science and biotechnology E3S Web of Conferences |
author_facet |
Vorobyeva Irina |
author_sort |
Vorobyeva Irina |
title |
The prognosis of the diabetic retinopathy using computer science and biotechnology |
title_short |
The prognosis of the diabetic retinopathy using computer science and biotechnology |
title_full |
The prognosis of the diabetic retinopathy using computer science and biotechnology |
title_fullStr |
The prognosis of the diabetic retinopathy using computer science and biotechnology |
title_full_unstemmed |
The prognosis of the diabetic retinopathy using computer science and biotechnology |
title_sort |
prognosis of the diabetic retinopathy using computer science and biotechnology |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
The problem of diabetic retinopathy causes loss of the vision. In nowadays, modern equipment is used to diagnose this disease: an optical coherent tomograph and a fundus microperimeter. For even more accurate diagnosis, biomarker levels in the lacrimal fluid and blood serum are being researched. The mathematical model for predicting the developing of the course of the disease is proposed. The mathematical model is based on four mathematical criteria. The first two criteria analyze the data of digital equipment: the thickness of the retina in 9 zones and the photosensitivity of the macula. The third and the fourth mathematical criteria analyze the levels of pathogenetic biomarkers in the lacrimal fluid (vascular endothelial growth factor VEGF-A) and the blood serum (glycated hemoglobin). The program based on the proposed mathematical formulas combines the objective data from the digital equipment and the biomarkers. The program gives the possibility for the automatic prediction of developing the diabetic retinopathy. The prognosis of development of the course of the disease according to the program coincides with a clinical prognosis of a doctor. It was shown that the application of the proposed complex approach gives more opportunities in comparison with separate studies of the biomarkers, morphology and retinal function. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/63/e3sconf_ebwff2020_01028.pdf |
work_keys_str_mv |
AT vorobyevairina theprognosisofthediabeticretinopathyusingcomputerscienceandbiotechnology AT vorobyevairina prognosisofthediabeticretinopathyusingcomputerscienceandbiotechnology |
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