DocumentCode :
3738106
Title :
A Rough Set Data model with presbyopic and hypermetrope parameters for eye vision diagnostics
Author :
Aaron Don M. Africa
Author_Institution :
Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University, 2401 Taft Avenue, Malate, Manila, Philippines 1004
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Having clear vision is important for humans. For years devices were invented to give clear vision. One of this devices are contact lenses. A classification of contact lenses is a either hard or soft type. Hard contact lenses are extremely durable and does not dehydrate but can easily be dislodged from the eye and uncomfortable to wear. Soft contact lenses on the other hand are more comfortable to wear and easier to adjust. The two have their own advantages and disadvantages and different patients have different choices on what to use between the two. But the patients preferences may not be compatible for their eyes. This research uses a mathematical approach on what type of contact lenses are compatible with a patient. A Rough Set Data model was used to determine the compatibility. Parameters on presbyopic and hypermetrope are used to help eye vision diagnostics.
Keywords :
"Lenses","Information systems","Set theory","Conferences","Nanotechnology","Information technology","Data models"
Publisher :
ieee
Conference_Titel :
Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015 International Conference on
Type :
conf
DOI :
10.1109/HNICEM.2015.7393190
Filename :
7393190
Link To Document :
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