Name
Title | ||
|---|---|---|
A Hybrid Algorithm For The Prediction Of Computer Vision Syndrome In Health Personnel Based On Trees And Evolutionary Algorithms |
Abstract | ||
|---|---|---|
In the last decades, the use of video display terminals in workplaces has become more and more common. Despite their remarkable advantages, they imply a series of risks for the health of the workers, as they can be responsible for ocular and visual disorders.In this research, certain problems associated to prolonged computer use classified under the name of Computer Vision Syndrome are studied with the help of a hybrid algorithm based on regression trees and genetic algorithms. The importance of the different symptoms on the Computer Vision Syndrome is evaluated.Also, the proposed algorithm is tested in order to know its performance as a prediction model that can determine how prone an individual is to suffering from Computer Vision Syndrome. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-92639-1_50 | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018) |
Keywords | Field | DocType |
Hybrid algorithms, Genetic algorithms, Regression tree, Computer vision syndrome | Decision tree,Hybrid algorithm,Visual Disorders,Evolutionary algorithm,Computer science,Video Display Terminals,Computer vision syndrome,Artificial intelligence,Machine learning,Genetic algorithm | Conference |
Volume | ISSN | Citations |
10870 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eva María Artime Ríos | 1 | 3 | 1.54 |
| Fernando Sánchez Lasheras | 2 | 52 | 11.63 |
| A. SuáRez SáNchez | 3 | 32 | 5.16 |
| F. J. Iglesias-RodríGuez | 4 | 16 | 1.64 |
| María del Mar Seguí Crespo | 5 | 3 | 1.54 |