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Number 3

A Comparison of Different Prediction Models in the ‎Progression of Ocular hypertension to Primary Open ‎Angle Glaucoma

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  • M. I. Waly and Amr Sharawy and K. Wahba 2013. A Comparison of Different Prediction Models in the ‎Progression of Ocular hypertension to Primary Open ‎Angle Glaucoma . International Journal of Applied Information Systems. 5, 3 (February 2013), 30-42. DOI=http://dx.doi.org/10.5120/ijais450871
  • @article{10.5120/ijais2017451568,
    author = {M. I. Waly  and Amr Sharawy and K. Wahba},
    title = {A Comparison of Different Prediction Models in the ‎Progression of Ocular hypertension to Primary Open ‎Angle Glaucoma },
    journal = {International Journal of Applied Information Systems},
    issue_date = {February 2013},
    volume = {5},
    number = {},
    month = {February},
    year = {2013},
    issn = {},
    pages = {30-42},
    numpages = {},
    url = {/archives/volume5/number3/428-0871},
    doi = { 10.5120/ijais12-450871},
    publisher = { xA9 2012 by IJAIS Journal},
    address = {}
    }
    
  • %1 450871
    %A M.  I.  Waly
    %A Amr Sharawy
    %A K.  Wahba
    %T A Comparison of Different Prediction Models in the ‎Progression of Ocular hypertension to Primary Open ‎Angle Glaucoma 
    %J International Journal of Applied Information Systems
    %@ 
    %V 5
    %N 
    %P 30-42
    %D 2013
    %I  xA9 2012 by IJAIS Journal
    

Abstract

In the present work an attempt is being made to reduce the Maximum Flow Network Interdiction Problem (MFNIP) in to the Subset Sum Problem so as to get some algorithms solvable in polynomial time. Previously developed algorithms are either applicable to some special cases of MFNIP or they do not have a constant performance guarantee. Our reduction has paved the way towards the development of fully polynomial time approximation schemes for Maximum Flow Network Interdiction Problem.

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Keywords

Glaucoma, primary open angle glaucoma, retinal fiber layer, generative and discriminative classifiers

Index Terms

Computer Science
Information Sciences