Δημοσίευση

Semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approach.

ΤίτλοςSemantic integration of cervical cancer data repositories to facilitate multicenter association studies: the ASSIST approach.
Publication TypeJournal Article
Year of Publication2009
AuthorsAgorastos, T., Koutkias V., Falelakis M., Lekka I., Mikos T., Delopoulos A., Mitkas P. A., Tantsis A., Weyers S., Coorevits P., Kaufmann A. M., Kurzeja R., & Maglaveras N.
JournalCancer Inform
Volume8
Pagination31-44
Date Published2009
ISSN1176-9351
Abstract

The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virtually unifies multiple patient record repositories, physically located in different medical centers/hospitals, thus, increasing flexibility by allowing the formation of study groups "on demand" and by recycling patient records in new studies. To this end, ASSIST uses semantic technologies to translate all medical entities (such as patient examination results, history, habits, genetic profile) and represent them in a common form, encoded in the ASSIST Cervical Cancer Ontology. The current paper presents the knowledge elicitation approach followed, towards the definition and representation of the disease's medical concepts and rules that constitute the basis for the ASSIST Cervical Cancer Ontology. The proposed approach constitutes a paradigm for semantic integration of heterogeneous clinical data that may be applicable to other biomedical application domains.

Alternate JournalCancer Inform
PubMed ID19458792
PubMed Central IDPMC2664695

Επικοινωνία

Τμήμα Ιατρικής, Πανεπιστημιούπολη ΑΠΘ, T.K. 54124, Θεσσαλονίκη
 

Συνδεθείτε

Το τμήμα Ιατρικής στα κοινωνικά δίκτυα.
Ακολουθήστε μας ή συνδεθείτε μαζί μας.