Name
Abstract | ||
|---|---|---|
•Ocular changes for patients with diabetes were predicted with neural networks.•MLP and JEN neural networks proved the relation between diabetes and glaucoma.•The results were very good, with a probability of correct answers of 95% with MLP.•High accuracy was exhibited by JEN networks, with the confidence interval of 15%. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2017.11.013 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Glaucoma,Diabetic retinopathy,Artificial neural networks,Direct and inverse modelling | Diabetes mellitus,Glaucoma,Glycated haemoglobin,Computer science,Ophthalmology,Intraocular pressure,Absolute deviation,Artificial neural network,Statistics,Confidence interval | Journal |
Volume | ISSN | Citations |
154 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicoleta Anton Apreutesei | 1 | 0 | 0.34 |
| Filip Tircoveanu | 2 | 0 | 0.34 |
| Alina Cantemir | 3 | 0 | 0.34 |
| Camelia Bogdanici | 4 | 0 | 0.34 |
| Cătălin Lisa | 5 | 0 | 0.34 |
| Silvia Curteanu | 6 | 63 | 6.26 |
| Dorin Chiseliţă | 7 | 0 | 0.34 |