Knowledge Discovery for Geriatric Diseases

من ويكيتعمر
مراجعة 07:38، 14 سبتمبر 2015 بواسطة Ashashyou (نقاش | مساهمات)
(فرق) → مراجعة أقدم | المراجعة الحالية (فرق) | مراجعة أحدث ← (فرق)
اذهب إلى: تصفح، ابحث


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

Demerdash Hospital[عدل]

The researchers express their profound sincere gratitude to the medical staff of the Geriatrics Department at El-Demerdash Hospital in Cairo for their cooperation.

ABSTRACT[عدل]

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[عدل]

Knowledge Discovery, Data Mining, Medical Informatics, Elderly Diseases, Dementia, Alzheimer Disease

http://www.aabri.com/LV11Manuscripts/LV11098.pdf