Hawassa Health Science College,
P.O.B 84 Hawassa
Ethiopia
Research Article
Application of Data Mining Techniques for Predicting CD4 Status of Patients on ART in Jimma and Bonga Hospitals, Ethiopia
Author(s): Behailu Gebre Mariam and Tesfahun Haile MariamBehailu Gebre Mariam and Tesfahun Haile Mariam
Background: Many of the reports on HIV/AIDS shows that the number of ART registered patients are increasing from time to time. Despite those reports show increasing of patients’ number, they did not try to make prediction of attributes based on the given attributes more than statistical explanation. This study concerned to use data mining techniques on ART data base. The main objective of the study is to apply data mining techniques for predicting CD4 status of patients on ART in Jimma and Bonga Hospitals. Methodology: The study followed the CRISP-DM data mining methodology which has six phases: business understanding, data understanding, data preparation, model building, evaluation and deployment. For this study, data was taken from two hospitals of the south west of Ethiopia; Jimma and Bonga hospitals. Classification algorithm was used to predict CD4 status of the patients tho.. Read More»
DOI:
10.4172/2157-7420.1000208
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report