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Prediction of the evolution of bipolar disorder using semantic web technologies

Thermolia Chryso

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URIhttp://purl.tuc.gr/dl/dias/9A92C294-4DE2-4DB7-8530-A04F647E2213-
Identifierhttp://www.library.tuc.gr/artemis/DT2013-0193/DT2013-0193.pdf-
Identifierhttps://doi.org/10.26233/heallink.tuc.12977-
Languageen-
Extent50 pagesen
TitlePrediction of the evolution of bipolar disorder using semantic web technologiesen
CreatorThermolia Chrysoen
CreatorΘερμολια Χρυσωel
Contributor [Thesis Supervisor]Petrakis Evripidisen
Contributor [Thesis Supervisor]Πετρακης Ευριπιδηςel
Contributor [Committee Member]Zervakis Michailen
Contributor [Committee Member]Ζερβακης Μιχαηλel
Contributor [Committee Member]Lagoudakis Michailen
Contributor [Committee Member]Λαγουδακης Μιχαηλel
PublisherTechnical University of Creteen
PublisherΠολυτεχνείο Κρήτηςel
Academic UnitΠολυτεχνείο Κρήτης::Τμήμα Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
Type of ItemΔιπλωματική Εργασίαel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2014-03-24-
Date of Publication2012-
SubjectΔΙΠ3020el
Bibliographic CitationChryso Thermolia, "Prediction of the evolution of bipolar disorder using semantic web technologies", Diploma Work, Department of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2012el

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