Use of data mining technology to identify fac-tors affecting cataracts : applying to Makkah Eye Hospital 2016-2017

Abstract EN

The problem of the study is the high incidence of factors affecting the disease (Cataract) in Khartoum state.

Because of insufficient information on the disease helping in the prediction of the approximate number of the expected cases.

This study aims to discover the important relationships between eye diseases and the factors influencing their causes.

And providing future information on eye diseases to help in decision making.

And provision adequate resources to fight these diseases through building a suitable model.

The importance of this theory is that Data mining is an important shape of decision supporting which helps in decision making.

And also allows for accurate queries and continuously develop it without having a specific goal idea at first.

The scientific importance is to build future predictions and extracting new information determines whether there is a virtual relationship reflecting the reality of the data.

The descriptive approach was followed because it is a way to describe the subject that you want to study.

And depict the results that have been reached on digital forms that can be interpreted.

Besides learning the phenomenon as it is actually.

The analysis and design systems approach was also followed because it helps in the analysis inputs, outputs, and processes.

Weka software was used to build a model to know the future prediction of the disease and an Excel worksheet was used to review the results.

It was reached that there is a direct correlation between the average temperature and the number of cases, strong positive relationship between the disease and the age of the patient, and a poor relationship concerning genetics.

It is recommended to uses seasonal data to help in an accurate prediction of Cataract cases.

Besides examining the other factors of the infection.

It is also recommended to add other attributes related to individuals such as gender and living area.