«Knowledge Discovery for Geriatric Diseases»: الفرق بين المراجعتين
(أنشأ الصفحة ب' 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, S...') |
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| (مراجعة متوسطة واحدة بواسطة نفس المستخدم غير معروضة) | |||
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LV11098 - Running head: KNOWLEDGE DISCOVERY FOR GERIATRIC DISEASES | LV11098 - Running head: KNOWLEDGE DISCOVERY FOR GERIATRIC DISEASES | ||
| + | ==Demerdash Hospital== | ||
| + | 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== | ==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. | 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. | ||
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http://www.aabri.com/LV11Manuscripts/LV11098.pdf | http://www.aabri.com/LV11Manuscripts/LV11098.pdf | ||
| − | [[تصنيف:رعاية المسنين في مصر]] | + | [[تصنيف:منشورات علمية عن رعاية المسنين في مصر]] |
المراجعة الحالية بتاريخ 07:38، 14 سبتمبر 2015
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
