DocumentCode :
667264
Title :
Unsupervised clustering of patient-centric models to cluster-centric models for ubiquitous healthcare environment
Author :
Fengou, Maria-Anna ; Mporas, Iosif ; Lymberopoulos, Dimitrios
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Patras, Rion, Greece
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we present an approach based on data-driven clustering of patient-centric models for ubiquitous healthcare environments. The use of clusters of models instead of patient-specific models offers the advance of dynamic reconfiguration of the models according to upcoming healthcare events that appear for members of the cluster. The healthcare events are related to the patient´s health condition.
Keywords :
health care; medical administrative data processing; pattern clustering; ubiquitous computing; unsupervised learning; cluster-centric models; data-driven clustering; dynamic reconfiguration; health care events; patient health condition; patient-centric models; ubiquitous health care environment; unsupervised clustering; Adaptation models; Biological system modeling; Context; Context modeling; Data models; Medical services; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
Type :
conf
DOI :
10.1109/BIBE.2013.6701602
Filename :
6701602
Link To Document :
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