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