Exploratory clustering for patient subpopulation discovery (CROSBI ID 647255)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gamberger, Dragan ; Ženko, Bernard ; Lavrač, Nada
engleski
Exploratory clustering for patient subpopulation discovery
Exploratory Clustering is a novel general purpose clustering tool which is especially appropriate for medical domains in which we need to identify subpopulations that are similar in two different data layers. The tool implements the multi-layer clustering algorithm in a framework that enables iterative experiments by the user in his search for relevant patient subpopulations. A unique property of the tool is integration of clustering and feature selection algorithms. Differences in values of most relevant attributes are used to demonstrate decisive properties of constructed clusters. Usefulness of the tool is illustrated on a task of discovering groups of patients with similar cognitive impairment.
Data clustering ; Biomarkers ; Alzheimer's disease
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
101-105.
2017.
objavljeno
Podaci o matičnoj publikaciji
Informatics for Health: Connected Citizen-Led Wellness and Population Health
Randell, Rebecca ; Cornet, Ronald ; McCowan, Colin ; Peek, Niels ; Scott, Philip J. ;
IOS Press
978-1-61499-752-8
Podaci o skupu
Informatics for Health 2017
predavanje
24.04.2017-26.04.2017
Manchester, Ujedinjeno Kraljevstvo