Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Mining interesting clinico‐genomic associations: The healthobs approach

Moustakis Vasilis, George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Dimitrsi Kafetzopoulos, Manolis Tsiknakis

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/A7BD4AE5-37F0-4F85-85D8-6C398D8FA3B0-
Αναγνωριστικόhttps://doi.org/10.1007/978-0-387-74161-1_15-
Γλώσσαen-
ΤίτλοςMining interesting clinico‐genomic associations: The healthobs approachen
ΔημιουργόςMoustakis Vasilisen
ΔημιουργόςΜουστακης Βασιληςel
ΔημιουργόςGeorge Potamiasen
ΔημιουργόςLefteris Koumakisen
ΔημιουργόςAlexandros Kanterakisen
ΔημιουργόςDimitrsi Kafetzopoulosen
ΔημιουργόςManolis Tsiknakisen
ΕκδότηςSpriger Verlagen
ΠερίληψηHealthObs is an integrated (Java-based) environment targeting the seamless integration and intelligent processing of distributed and heterogeneous clinical and genomic data. Via the appropriate customization of standard medical and genomic data-models HealthObs achieves the semantic homogenization of remote clinical and gene-expression records, and their uniform XML-based representation. The system utilizes data-mining techniques (association rules mining) that operate on top of query-specific XML documents. Application of HealthObs on a real world breast-cancer clinico-genomic study demonstrates the utility and efficiency of the approach.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-03-
Ημερομηνία Δημοσίευσης2007-
Βιβλιογραφική ΑναφοράG. Potamias, L. Koumakis, A. Kanterakis, V. Moustakis, D. Kafetzopoulos, and M. Tsiknakis, "Mining Interesting Clinico‐Genomic Associations: The HealthObs Approach", in 4th IFIP Conference on Artificial Intelligence Applications and Innovations, 2007, pp. 137‐145, doi: 10.1007/978-0-387-74161-1_15el

Υπηρεσίες

Στατιστικά

 

Copyright © DIAS 2013