Gamberger, Dragan; Ženko, Bernard; Mitelpunkt, Alexis; Lavrač, Nada (2015) Multilayer clustering: Biomarker driven segmentation of Alzheimer's disease patient population. In: International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015) (15 April 2015 - 17 April 2015) Granada, Španjolska.
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Identification of biomarkers for the Alzheimer's disease is a challenge and a very difficult task both for medical research and data analysis. In this work we present results obtained by application of a novel clustering tool. The goal is to identify subpopulations of the Alzheimer's disease (AD) patients that are homogeneous in respect of available clinical and biological descriptors. The result presents a segmentation of the Alzheimer's disease patient population and it may be expected that within each subpopulation separately it will be easier to identify connections between clinical and biological descriptors. Through the evaluation of the obtained clusters with AD subpopulations it has been noticed that for two of them relevant biological measurements (whole brain volume and intracerebral volume) change in opposite directions. If this observation is actually true it would mean that the diagnosed severe dementia problems are results of different physiological processes. The observation may have substantial consequences for medical research and clinical trial design. The used clustering methodology may be interesting also for other medical and biological domains.
|Item Type:||Conference or workshop item published in conference proceedings (UNSPECIFIED)|
|Uncontrolled Keywords:||Data clustering; Alzheimer's disease; Biomarker identification|
|Subjects:||TECHNICAL SCIENCES > Computing
TECHNICAL SCIENCES > Computing > Artificial Intelligence
|Divisions:||Division of Electronics|
|Depositing User:||Dragan Gamberger|
|Date Deposited:||08 May 2015 12:40|
|Last Modified:||08 May 2015 15:25|
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