Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunate...
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Autor*in:	Nataly Ilyasova [verfasserIn] Aleksandr Shirokanev [verfasserIn] Dmitriy Kirsh [verfasserIn] Nikita Demin [verfasserIn] Evgeniy Zamytskiy [verfasserIn] Rustam Paringer [verfasserIn] Alexey Antonov [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect

Übergeordnetes Werk:	In: Electronics - MDPI AG, 2013, 10(2021), 12, p 1420
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:12, p 1420

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/electronics10121420

Katalog-ID:	DOAJ013325590

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520			\|a Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.
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allfields	10.3390/electronics10121420 doi (DE-627)DOAJ013325590 (DE-599)DOAJ47ffe29ab70b49738acc1628fd434181 DE-627 ger DE-627 rakwb eng TK7800-8360 Nataly Ilyasova verfasserin aut Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect. fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics Aleksandr Shirokanev verfasserin aut Dmitriy Kirsh verfasserin aut Nikita Demin verfasserin aut Evgeniy Zamytskiy verfasserin aut Rustam Paringer verfasserin aut Alexey Antonov verfasserin aut In Electronics MDPI AG, 2013 10(2021), 12, p 1420 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:12, p 1420 https://doi.org/10.3390/electronics10121420 kostenfrei https://doaj.org/article/47ffe29ab70b49738acc1628fd434181 kostenfrei https://www.mdpi.com/2079-9292/10/12/1420 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 12, p 1420
spelling	10.3390/electronics10121420 doi (DE-627)DOAJ013325590 (DE-599)DOAJ47ffe29ab70b49738acc1628fd434181 DE-627 ger DE-627 rakwb eng TK7800-8360 Nataly Ilyasova verfasserin aut Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect. fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics Aleksandr Shirokanev verfasserin aut Dmitriy Kirsh verfasserin aut Nikita Demin verfasserin aut Evgeniy Zamytskiy verfasserin aut Rustam Paringer verfasserin aut Alexey Antonov verfasserin aut In Electronics MDPI AG, 2013 10(2021), 12, p 1420 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:12, p 1420 https://doi.org/10.3390/electronics10121420 kostenfrei https://doaj.org/article/47ffe29ab70b49738acc1628fd434181 kostenfrei https://www.mdpi.com/2079-9292/10/12/1420 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 12, p 1420
allfields_unstemmed	10.3390/electronics10121420 doi (DE-627)DOAJ013325590 (DE-599)DOAJ47ffe29ab70b49738acc1628fd434181 DE-627 ger DE-627 rakwb eng TK7800-8360 Nataly Ilyasova verfasserin aut Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect. fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics Aleksandr Shirokanev verfasserin aut Dmitriy Kirsh verfasserin aut Nikita Demin verfasserin aut Evgeniy Zamytskiy verfasserin aut Rustam Paringer verfasserin aut Alexey Antonov verfasserin aut In Electronics MDPI AG, 2013 10(2021), 12, p 1420 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:12, p 1420 https://doi.org/10.3390/electronics10121420 kostenfrei https://doaj.org/article/47ffe29ab70b49738acc1628fd434181 kostenfrei https://www.mdpi.com/2079-9292/10/12/1420 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 12, p 1420
allfieldsGer	10.3390/electronics10121420 doi (DE-627)DOAJ013325590 (DE-599)DOAJ47ffe29ab70b49738acc1628fd434181 DE-627 ger DE-627 rakwb eng TK7800-8360 Nataly Ilyasova verfasserin aut Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect. fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics Aleksandr Shirokanev verfasserin aut Dmitriy Kirsh verfasserin aut Nikita Demin verfasserin aut Evgeniy Zamytskiy verfasserin aut Rustam Paringer verfasserin aut Alexey Antonov verfasserin aut In Electronics MDPI AG, 2013 10(2021), 12, p 1420 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:12, p 1420 https://doi.org/10.3390/electronics10121420 kostenfrei https://doaj.org/article/47ffe29ab70b49738acc1628fd434181 kostenfrei https://www.mdpi.com/2079-9292/10/12/1420 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 12, p 1420
allfieldsSound	10.3390/electronics10121420 doi (DE-627)DOAJ013325590 (DE-599)DOAJ47ffe29ab70b49738acc1628fd434181 DE-627 ger DE-627 rakwb eng TK7800-8360 Nataly Ilyasova verfasserin aut Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect. fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics Aleksandr Shirokanev verfasserin aut Dmitriy Kirsh verfasserin aut Nikita Demin verfasserin aut Evgeniy Zamytskiy verfasserin aut Rustam Paringer verfasserin aut Alexey Antonov verfasserin aut In Electronics MDPI AG, 2013 10(2021), 12, p 1420 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:12, p 1420 https://doi.org/10.3390/electronics10121420 kostenfrei https://doaj.org/article/47ffe29ab70b49738acc1628fd434181 kostenfrei https://www.mdpi.com/2079-9292/10/12/1420 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 12, p 1420
language	English
source	In Electronics 10(2021), 12, p 1420 volume:10 year:2021 number:12, p 1420
sourceStr	In Electronics 10(2021), 12, p 1420 volume:10 year:2021 number:12, p 1420
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect Electronics
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container_title	Electronics
authorswithroles_txt_mv	Nataly Ilyasova @@aut@@ Aleksandr Shirokanev @@aut@@ Dmitriy Kirsh @@aut@@ Nikita Demin @@aut@@ Evgeniy Zamytskiy @@aut@@ Rustam Paringer @@aut@@ Alexey Antonov @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. 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callnumber-first	T - Technology
author	Nataly Ilyasova
spellingShingle	Nataly Ilyasova misc TK7800-8360 misc fundus misc laser photocoagulation misc diabetic retinopathy misc photocoagulation plan misc prognostic factors misc therapeutic effect misc Electronics Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment
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topic_title	TK7800-8360 Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment fundus laser photocoagulation diabetic retinopathy photocoagulation plan prognostic factors therapeutic effect
topic	misc TK7800-8360 misc fundus misc laser photocoagulation misc diabetic retinopathy misc photocoagulation plan misc prognostic factors misc therapeutic effect misc Electronics
topic_unstemmed	misc TK7800-8360 misc fundus misc laser photocoagulation misc diabetic retinopathy misc photocoagulation plan misc prognostic factors misc therapeutic effect misc Electronics
topic_browse	misc TK7800-8360 misc fundus misc laser photocoagulation misc diabetic retinopathy misc photocoagulation plan misc prognostic factors misc therapeutic effect misc Electronics
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title	Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment
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title_full	Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment
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author_browse	Nataly Ilyasova Aleksandr Shirokanev Dmitriy Kirsh Nikita Demin Evgeniy Zamytskiy Rustam Paringer Alexey Antonov
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title_sort	identification of prognostic factors and predicting the therapeutic effect of laser photocoagulation for dme treatment
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title_auth	Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment
abstract	Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.
abstractGer	Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.
abstract_unstemmed	Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.
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title_short	Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment
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