The Factors Affecting Eye Patients (Cataract) In Jordan by Using the Logistic Regression Model

Adeeb Rahamneh and Omar Hawamdeh

Modern Applied Science, 2017, vol. 11, issue 8, 38

Abstract: This study aims to use the logistic regression model to classify patients as infected and without cataracts. The independent variables were used to represent the gender, the age, the pressure in the right eye, the pressure in the left eye, HbA1C, and the anemia, representative variables for the study of Cataract disease affects the eyes, based on a random sample of (116) patients. The results proved that the used logistic regression model is an efficient and representative for data that shows through (Likelihood Ratio Test) and (Hosmer and Lemeshow test), and the study proved that the value of (R Square Nagelkerke=1) this means that 100% of the change in the occurred changes in the response variable explained through the Logistic regression model.

Date: 2017
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