Business Intelligence framework to support Chronic Liver Disease Treatment
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.4, No. 2)Publication Date: 2013-01-01
Authors : Ayman Khedr;
Page : 307-312
Keywords : Business Intelligence; Data Mining; FibroTest; Liver fibrosis; Chronic Liver Diseas; Hepatitis C;
- Business Intelligence framework to support Chronic Liver Disease Treatment
- Predicting the prognosis of chronic liver disease: A comparision between Child – Pugh score and Model for end stage liver disease (MELD)
- To study the changes in lipid profile induced after ingestion of single high-cholesterol test meal in subjects of chronic liver disease and chronic renal disease
- Problems of diagnosis and treatment of chronic ischaemic heart disease combined with chronic obstructive pulmonary disease according to retrospective analysis
- Wilsons Disease - A Rare Hereditary Cause of Chronic Liver Disease in Children, The First Ethiopian Case Report
Abstract
Business Intelligence (BI) framework designs the architecture of business intelligence information system which uses expert systems and Artificial Intelligence technology to support clinical decision and draw the strategy against chronic liver disease in Egypt. It makes integrated diagnostic and medical advice bases on the collected patient’s information, providing reference for the clinical medical officers. This paper aims to support decision function and in particular utilization of historical data laboratory and outcome data processed through artificial intelligence tools. The combination of historical data and predictive tools provides valuable information in the hands of physicians as they develop a course of treatment for a patient
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