A Novel Approach for Clinical Data Harmonization

Chondrogiannis, Efthymios; Andronikou, Vassiliki; Karanastasis, Efstathios; Varvarigou, Theodora

dc.contributor.author	Chondrogiannis, Efthymios
dc.contributor.author	Andronikou, Vassiliki
dc.contributor.author	Karanastasis, Efstathios
dc.contributor.author	Varvarigou, Theodora
dc.date.accessioned	2021-01-07T15:56:11Z
dc.date.available	2021-01-07T15:56:11Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/52734
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.20432
dc.relation	info:eu-repo/grantAgreement/EC/H2020/731944	el
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Data Harmonization	en
dc.subject	Heterogeneity Issues	en
dc.subject	Semantic Web	en
dc.subject	Clinical Studies	en
dc.title	A Novel Approach for Clinical Data Harmonization	en
heal.type	conferenceItem
heal.classification	computer science	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2019-04-04
heal.bibliographicCitation	E. Chondrogiannis, V. Andronikou, E. Karanastasis and T. Varvarigou, "A Novel Approach for Clinical Data Harmonization," 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), Kyoto, Japan, 2019, pp. 1-8, doi: 10.1109/BIGCOMP.2019.8679239.	en
heal.abstract	A city transforms into a "smart" one when it utilizes the data from smart devices, cloud infrastructures, applications and repositories in order to develop and provide new services, products and insights with the goal being to offer a safer, more efficient and robust environment for government, citizens and businesses, and accelerate sustainable economic growth. Although the variability across cities in terms of cultural background, demographics, current infrastructures, topology, among others, might drive significant variations in the individual goals of a smart city, the role of health in achieving the aforementioned goals is of paramount importance in any city. One of the starting points of introducing a health-related orientation into a smart city developments and operations is the intelligent processing of the overwhelming amount of clinical data being continuously generated during healthcare provision, daily activities and clinical research. Great challenges that need to be met in order to offer big data analytics over clinical data for the purposes of a smart city lie in their high heterogeneity at system, syntactic, structural and semantic level as well as their sensitive nature from the legal and ethical perspective, which may prevent and/or limit access to and analysis of the data. In this work we will present a novel approach for expressing clinical data using a common formalism with explicit semantics of the terms being used. Based on this established semantic ground, questions on health-related data can be placed for disease prevention, treatment monitoring, post-marketing surveillance, policy making, among others.	en
heal.sponsor	This work has been partially funded by the European Commission’s activity of the Horizon 2020 project HarmonicSS under contract number 731944. This paper expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this paper.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	2019 IEEE International Conference on Big Data and Smart Computing (BigComp)	en
heal.conferenceItemType	full paper
dc.identifier.doi	10.1109/BIGCOMP.2019.8679239	el