Knowledge Discovery for Geriatric Diseases
Knowledge Discovery for Geriatric Diseases - Case Study: Dementia in Egypt
Nevine M. Labib, Edward W. Morcos, Arvid C. Johnson, Mohamed O. Askar, Ahmed K. Mortagui, Sarah A. Hamza
LV11098 - Running head: KNOWLEDGE DISCOVERY FOR GERIATRIC DISEASES
ABSTRACT
A major challenge in the medical domain is the extraction of comprehensible knowledge from patient data. In this study, a knowledge discovery approach is proposed to extract meaningful patterns that can be used in clinical practice for early detection and better management of Elderly diseases with a special focus on Dementia. Initially, 65 years old or older patients were interviewed, underwent medical and cognitive examination. A data mining tool, Microsoft SQL Server 2008 Business Intelligence Tool was applied on these patients’ medical data, whereby 13 factors were investigated. This tool made use of two techniques, Decision Trees and Naïve Bayes. The results showed that this approach to data analysis provides valuable knowledge concerning the predisposing factors that may lead to Dementia.
Keywords
Knowledge Discovery, Data Mining, Medical Informatics, Elderly Diseases, Dementia, Alzheimer Disease
