scholarly journals A Novel Machine Learning Algorithm to Automatically Predict Visual Outcomes in Intravitreal Ranibizumab-Treated Patients with Diabetic Macular Edema

2018 ◽  
Vol 7 (12) ◽  
pp. 475 ◽  
Author(s):  
Shao-Chun Chen ◽  
Hung-Wen Chiu ◽  
Chun-Chen Chen ◽  
Lin-Chung Woung ◽  
Chung-Ming Lo
Keyword(s):  
Machine Learning ◽  
Visual Acuity ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Treatment Time ◽  
Learning Algorithm ◽  
Correlation Coefficients ◽  
Final Visual Acuity ◽  
Machine Learning Algorithm ◽  
Visual Outcomes

Purpose: Artificial neural networks (ANNs) are one type of artificial intelligence. Here, we use an ANN-based machine learning algorithm to automatically predict visual outcomes after ranibizumab treatment in diabetic macular edema. Methods: Patient data were used to optimize ANNs for regression calculation. The target was established as the final visual acuity at 52, 78, or 104 weeks. The input baseline variables were sex, age, diabetes type or condition, systemic diseases, eye status and treatment time tables. Three groups were randomly devised to build, test and demonstrate the accuracy of the algorithms. Results: At 52, 78 and 104 weeks, 512, 483 and 464 eyes were included, respectively. For the training group, testing group and validation group, the respective correlation coefficients were 0.75, 0.77 and 0.70 (52 weeks); 0.79, 0.80 and 0.55 (78 weeks); and 0.83, 0.47 and 0.81 (104 weeks), while the mean standard errors of final visual acuity were 6.50, 6.11 and 6.40 (52 weeks); 5.91, 5.83 and 7.59; (78 weeks); and 5.39, 8.70 and 6.81 (104 weeks). Conclusions: Machine learning had good correlation coefficients for predicating prognosis with ranibizumab with just baseline characteristics. These models could be the useful clinical tools for prediction of success of the treatments.

scholarly journals Vitrectomized versus non-vitrectomized eyes in diabetic macular edema response to ranibizumab—retinal layers thickness as prognostic biomarkers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bernardete Pessoa ◽  
João Leite ◽  
João Heitor ◽  
João Coelho ◽  
Sérgio Monteiro ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Macular Edema ◽  
Nerve Fiber ◽  
Diabetic Macular Edema ◽  
Intravitreal Injections ◽  
Final Visual Acuity ◽  
Foveal Thickness ◽  
Retinal Layers ◽  
Retinal Nerve Fiber

AbstractTo evaluate the role of the vitreous in the management of diabetic macular edema with ranibizumab intravitreal injections in a pro re nata regimen. Prospective study of 50 consecutive eyes with diabetic macular edema treated with ranibizumab and 12 months of follow-up. Primary endpoint: to assess differences between non-vitrectomized and vitrectomized eyes in the number injections needed to control the edema. Secondary endpoints: comparison of groups regarding best corrected visual acuity, central foveal thickness and thickness of seven retinal layers. 46 eyes from 38 patients, 10 vitrectomized and 36 non-vitrectomized, completed the follow-up. At month 12, the two groups achieved an equivalent anatomical outcome and needed a similar number of ranibizumab intravitreal injections. In vitrectomized eyes final visual acuity was worse when baseline retinal nerve fiber layers in the central foveal subfield were thicker, showing a strong correlation (r = − 0.942, p < 0.001). A similar, albeit moderate correlation was observed in non-vitrectomized eyes (r = − 0.504, p = 0.002). A decrease of retinal nerve fiber layers inner ring thickness was correlated with a better final visual acuity only in vitrectomized eyes (r = 0.734, p = 0.016). The effect of diabetic macular edema seems to be worse in vitrectomized eyes, with a thinner inner retina reservoir.Clinicaltrials.govNCT04387604.

scholarly journals Visual outcomes in diabetic macular edema patients after avastin injection

2020 ◽  
Vol 9 (6) ◽  
pp. 189-192
Author(s):  
Charles Masih ◽  
Kanwal Parveen ◽  
Samreen Brohi ◽  
Shehar Bano Siyal ◽  
Fatima Zia ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Diabetic Retinopathy ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Proliferative Diabetic Retinopathy ◽  
Care Hospital ◽  
Cross Sectional ◽  
Visual Outcomes ◽  
Corrected Visual Acuity ◽  
Best Corrected Visual Acuity

Objective: To determine the visual outcome in Diabetic Macular Edema patients after 3rd Avastin injections attending a tertiary eye care hospital. Materials and methods: This was a cross sectional study with Non probability convenient sampling technique. The study was carried out at Diabetic clinic of Al-Ibrahim Eye Hospital, Isra Postgraduate Institute of Ophthalmology, Karachi-Pakistan. Ethical approval was taken from the institutional review board of Institute. Data collection were done retrospectively from January 2017 to June 2019. Data were retrieved for DME patients who have completed three follow-ups with Avastin injection. Inclusion Criteria were patients with age 30 to 60 years, Patient with PDR and NPDR with diabetic macular edema after 3rd injection. Data Analysis was done using SPSS version 23.0. Results: A total of 40 eyes of 40 patients were included in this study after getting information from the record sheet. Analysis were done in 30 eyes of 30 patients because 10 patients were missed their follow-up due to certain reason which were observed from record sheet. Mean age of patients was found to be 41.25±10.24.Pre-operative Avastin injection best corrected visual acuity (BCVA) was noticed by using Log MAR without glasses was 0.49 and with glasses was 0.40. Post-operative best corrected visual acuity Log MAR without glasses 0.51 and with glasses 0.42 after Avastin injection. Improvement of visual acuity was classified as Improved, worsen and Stable. There were 22 (73.33%) patients observed with improvement in visual acuity, 5 (16.66%) patients retained their vision stable and only 3 (10%) patients worsen their visual acuity after all three Avastin injections. Conclusion: The most common cause of diabetic macular edema is non-proliferative diabetic retinopathy and proliferative Diabetic Retinopathy. The Intravitreal injection play vital role, the timely treatment would improve prognosis of visual outcomes in Diabetic macular edema. So the study significantly shows the improvement in best corrected visual acuity before and after three visits.

Machine Learning Algorithm to Predict Early Complications after Brain Tumor Surgery

2018 ◽  
Author(s):  
C.H.B. van Niftrik ◽  
F. van der Wouden ◽  
V. Staartjes ◽  
J. Fierstra ◽  
M. Stienen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Tumor Surgery ◽  
Early Complications ◽  
Brain Tumor Surgery

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

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