title   
  

Risk factors and identifiers for Alzheimer's disease: a data mining analysis

Ertek, Gürdal and Tokdil, Bengi and Günaydın, İbrahim (2014) Risk factors and identifiers for Alzheimer's disease: a data mining analysis. In: 14th Industrial Conference on Data Mining (ICDM 2014), St. Petersburg, Russia

[img]
Preview
PDF (Ertek, G., Tokdil, B., Günaydın, İ. “Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis”. In Proceedings of Industrial Conference on Data Mining (ICDM 2014), Springer. Ed: Petra Perner (2014) ) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
596Kb
[img]
Preview
PDF (SUPPLEMENT DOCUMENT for Ertek, G., Tokdil, B., Günaydın, İ. “Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis”. In Proceedings of Industrial Conference on Data Mining (ICDM 2014), Springer. Ed: Petra Perner (2014) ) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
439Kb

Official URL: http://dx.doi.org/10.1007/978-3-319-08976-8_1

Abstract

The topic of this paper is the Alzheimer’s Disease (AD), with the goal being the analysis of risk factors and identifying tests that can help diagnose AD. While there exists multiple studies that analyze the factors that can help diagnose or predict AD, this is the first study that considers only non-image data, while using a multitude of techniques from machine learning and data mining. The applied methods include classification tree analysis, cluster analysis, data visualization, and classification analysis. All the analysis, except classification analysis, resulted in insights that eventually lead to the construction of a risk table for AD. The study contributes to the literature not only with new insights, but also by demonstrating a framework for analysis of such data. The insights obtained in this study can be used by individuals and health professionals to assess possible risks, and take preventive measures.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.5 Information technology
Q Science > QA Mathematics > QA075 Electronic computers. Computer science
R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Q Science > QA Mathematics > QA076 Computer software
ID Code:24350
Deposited By:Gürdal Ertek
Deposited On:26 Sep 2014 11:24
Last Modified:26 Sep 2014 11:24

Repository Staff Only: item control page