TY - GEN
T1 - Using Generic Meta-Data-Models for Clustering Medical Data
AU - Girardi, Dominic
AU - Giretzlehner, Michael
AU - Küng, Josef
PY - 2012
Y1 - 2012
N2 - We present a generic, meta-model based data storage system for research, clinical studies or disease registers, which is enabled to store data of almost arbitrary structure. The system is highly costumizeable and allows the user to set up a professional web-based data acquisition system including administration area, data input forms, overview tables and statistics within hours. Furthermore, we evaluated a number of clustering algorithms regarding their ability to cluster the stored datasets for similarity search and further statistical analysis.
AB - We present a generic, meta-model based data storage system for research, clinical studies or disease registers, which is enabled to store data of almost arbitrary structure. The system is highly costumizeable and allows the user to set up a professional web-based data acquisition system including administration area, data input forms, overview tables and statistics within hours. Furthermore, we evaluated a number of clustering algorithms regarding their ability to cluster the stored datasets for similarity search and further statistical analysis.
UR - https://www.scopus.com/pages/publications/84865596915
U2 - 10.1007/978-3-642-32395-9_4
DO - 10.1007/978-3-642-32395-9_4
M3 - Conference proceedings
SN - 978-3-642-32394-2
VL - 7451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 40
EP - 53
BT - Information Technology in Bio- and Medical Informatics - Third International Conference, ITBAM 2012, Vienna, Austria, September 4-5, 2012. Proceedings
A2 - Ch. Böhm, S. Khuri, L. Lhotska, M.E. Renda, null
PB - Springer
CY - Berlin Heidelberg
ER -