The Utilize Accuracy Diagnostic Tests to Classification HIV/AIDS Infected Using Magnetic Resonance Imaging

Elhadi Gafer Osman, Abdulrahman Ahmed Abdulrahman

Abstract


This research has aimed to apply the accuracy diagnostic tests to find the classification method to classify HIV/AIDS infected from image properties use Magnetic Resonance Imaging (MRI) in Sudan.  118 sample sizes were taken to studied, half cases of sample size was infected group and the other was uninfected group. We conduct the properties of image show that there is significance different between infected with HIV/AIDS and uninfected; also the risk in HIV/AIDS infected group is higher than the risk in uninfected group by 0.054. In the other hand of was found that if the deformation of images increased than 0.694 there was a high probability of with HIV/AIDS infection, when the homogeneity of the image decreased than 0.27 there was a high probability of HIV/AIDS presence.


Keywords


MRI; Deformation; Homogeneity; HIV/AID; uninfected.

Full Text:

PDF

References


B. Dawson and R.G.Trapp, Basic & Clinical Biostatistics, 4th ed , McGraw- Hill , (2004) , pp.13.

M.R. Chernik and R.H Friis, Introductory Biostatistics for the Health Sciences Modern Applications Including Bootstrap, (2003) pp.119-131 .

R.L.Scheaffer, (1999).Categorical Data Analysis, NCSSM Statistics Leadership Institute, available at http://courses.ncssm.edu/math/Stat_Inst /PDFS/Categorical%20Data%20 Analysis.

J.R.Parikh, M.Naik, A.Mathai, T.Kuriakose, J.Muliyil, T.Roland , Role of frequency doubling technology perimetry in screening of diabetic retinopathy, Indian J Ophthalmol , (2006), pp.17–22.

S. A.Manahil , Survival Analysis for AIDS Patients from date of Diagnosis until death an applied study on AIDS patients at Omdurman teaching hospital , Sudan University of science & Technology, library of College of Sciences (2012).

R.B. D’Agostino, L.M. Sullivan ,A.S. Beiser, , Introductory Applied Biostatistics, Cengage Learning , (2005) .


Refbacks

  • There are currently no refbacks.


 

 
  
 

 

  


About IJSBAR | Privacy PolicyTerms & Conditions | Contact Us | DisclaimerFAQs 

IJSBAR is published by (GSSRR).