A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms

2018 ◽  
pp. 597-608
Author(s):  
Eva María Artime Ríos ◽  
Fernando Sánchez Lasheras ◽  
Ana Suárez Sánchez ◽  
Francisco J. Iglesias-Rodríguez ◽  
María del Mar Seguí Crespo
Keyword(s):  
Computer Vision ◽  
Evolutionary Algorithms ◽  
Hybrid Algorithm ◽  
Health Personnel ◽  
Computer Vision Syndrome

Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel

2018 ◽  
Vol 32 (5) ◽  
pp. 1239-1248 ◽  
Author(s):  
Eva María Artime Ríos ◽  
Ana Suárez Sánchez ◽  
Fernando Sánchez Lasheras ◽  
María del Mar Seguí Crespo
Keyword(s):  
Genetic Algorithm ◽  
Computer Vision ◽  
Support Vector Machines ◽  
Health Personnel ◽  
Support Vector ◽  
Computer Vision Syndrome ◽  
Vector Machines ◽  
Syndrome Classification

Study on Knowledge and Prevalence of Computer Vision Syndrome among Computer Operators in Nobel Medical College Teaching Hospital, Biratnagar, Nepal

2020 ◽  
Vol 9 (2) ◽  
pp. 45-49
Author(s):  
Pramod Sharma Gautam ◽  
Uday Chandra Prakash ◽  
Subreena Dangol
Keyword(s):  
Computer Vision ◽  
Teaching Hospital ◽  
Human Life ◽  
College Teaching ◽  
Extended Period ◽  
Visual Display ◽  
Work Place ◽  
Medical College ◽  
Computer Vision Syndrome ◽  
Department Of Ophthalmology

Background: The eye and vision related problems that results from continuous use of computers and other visual display terminals for extended period of time leads to computer vision syndrome. Due to rapid digitalization in human life, the risk of developing it has also increased in many folds. So, with an aim of determining the prevalence and level of awareness of computer vision syndrome among computer users along with their attitude and practices to prevent it, this study was conducted in the office employees who use computer for a considerable period of time. Materials and Methods: A hospital based observational descriptive study was conducted in the out-patient department of Ophthalmology in Nobel Medical College and Teaching Hospital, Biratnagar, where 105 employees working in different work stations of same institution were enrolled. A questionnaire and the clinical findings were used to collect data. Results: About 80% of the employees were using computer for about (8-11) hours per day. Prevalence of computer vision syndrome noted was (92.4%) with low level of knowledge (85.7%) about it. About 45% of them wore glasses for their refractive errors but attitude and practices in work place to prevent the bad effects of using visual display terminals were found to be lacking (53.3%). Burning sensation in the eye, headache, ocular irritation and itching and neck, shoulder or back pain were the common symptoms. Around (60-70)% of the eyes tested positive for dry eye. Conclusion: Lack of awareness of computer vision syndrome and lack of personal protective measures were associated with its high level of prevalence.  

Accommodative and binocular disorders in preteens with computer vision syndrome: a cross‐sectional study

2020 ◽  
Author(s):  
Concepción De‐Hita‐Cantalejo ◽  
Ángel García‐Pérez ◽  
José‐María Sánchez‐González ◽  
Raúl Capote‐Puente ◽  
María Carmen Sánchez‐González
Keyword(s):  
Computer Vision ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome

scholarly journals Computer vision syndrome in presbyopic digital device workers and progressive lens design

2021 ◽  
Author(s):  
Mar Sánchez‐Brau ◽  
Begoña Domenech‐Amigot ◽  
Francisco Brocal‐Fernández ◽  
Mar Seguí‐Crespo
Keyword(s):  
Computer Vision ◽  
Lens Design ◽  
Digital Device ◽  
Computer Vision Syndrome

scholarly journals Computer vision syndrome in presbyopia and beginning presbyopia: effects of spectacle lens type

2015 ◽  
Vol 98 (3) ◽  
pp. 228-233 ◽  
Author(s):  
Wolfgang Jaschinski ◽  
Mirjam König ◽  
Tiofil M. Mekontso ◽  
Arne Ohlendorf ◽  
Monique Welscher
Keyword(s):  
Computer Vision ◽  
Spectacle Lens ◽  
Computer Vision Syndrome

Ophthalmic agents in the prevention and treatment of computer vision syndrome

Vrach ◽  
2021 ◽  
Vol 32 (7) ◽  
pp. 39-46
Author(s):  
T. Potupchik ◽  
E. Okladnikova ◽  
L. Evert ◽  
E. Belova ◽  
Yu. Kostyuchenko
Keyword(s):  
Computer Vision ◽  
Computer Vision Syndrome ◽  
Prevention And Treatment ◽  
Ophthalmic Agents

scholarly journals EFFICACY OF TRIPHALA GHRITA NETRATARPAN IN COMPUTER VISION SYNDROME

2013 ◽  
Vol 4 (2) ◽  
pp. 244-248 ◽  
Author(s):  
Deepak P. Sawant ◽  
Gajanan R. Parlikar ◽  
Sandeep V. Binorkar
Keyword(s):  
Computer Vision ◽  
Computer Vision Syndrome

Wink Glass, Incomplete Blink and Computer Vision Syndrome

2015 ◽  
pp. 1-2
Author(s):  
Norhani Mohidin ◽  
Chris Ang ◽  
Chung Kah Meng
Keyword(s):  
Computer Vision ◽  
Computer Vision Syndrome
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