Identifying Related Clinical Trials by Using Graph Database and Clustering

dc.contributor.author	Ghzouli, Razan
dc.date.accessioned	2019-10-04T09:19:31Z
dc.date.available	2019-10-04T09:19:31Z
dc.date.issued	2019-10-04
dc.identifier.uri	http://hdl.handle.net/2077/62037
dc.description.abstract	In this work we investigate two methods to ﬁnd similar clinical trials; creating a graph database to migrate clinical trials meta-data from relational database, and clustering clinical trials. We succeeded in identifying similar groups of clinical trials using the clustering method. However, we were not able to evaluate migrating the meta-data into graph database method due to limitations of the chosen software.	sv
dc.language.iso	eng	sv
dc.subject	clinical trials	sv
dc.subject	clustering method	sv
dc.title	Identifying Related Clinical Trials by Using Graph Database and Clustering	sv
dc.type	text
dc.setspec.uppsok	Technology
dc.type.uppsok	H2
dc.contributor.department	Göteborgs universitet/Institutionen för data- och informationsteknik	swe
dc.contributor.department	University of Gothenburg/Department of Computer Science and Engineering	eng
dc.type.degree	Student essay