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Recommending medical documents by user profile

Petrakis Evripidis, Christos Tryfonopoulos, Nikos Zevlis, Paraskevi Raftopoulou

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/6F822D25-9C47-4941-B12E-ABAED6355BE4-
Αναγνωριστικόhttp://www.intelligence.tuc.gr/~petrakis/publications/BIBE2013_UserProfile.pdf-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςRecommending medical documents by user profileen
ΔημιουργόςPetrakis Evripidisen
ΔημιουργόςΠετρακης Ευριπιδηςel
Δημιουργός Christos Tryfonopoulosen
ΔημιουργόςNikos Zevlisen
ΔημιουργόςParaskevi Raftopoulouen
Δημιουργόςen
ΕκδότηςIEEEen
ΠερίληψηThe overwhelmed amount of medical information available online, makes the use of automated recommendation methods essential for identifying relevant information according to user profile needs. This paper presents a method to address the problem of medical document classification into documents for medical professionals (experts) and non-professionals (consumers). Documents are represented by terms extracted from AMTEx, a medical document indexing method, specifically designed for the automatic indexing of documents in large medical collections, such as MEDLINE, and then mapped to the UMLS Semantic Network (SN) categories. Multiple Criteria Decision Analysis (MCDA) tools are applied to calculate the membership of each SN category to the document classification. Several factors such as the classification nature of the problem and the incorporation of common readability formulas are also examined. en
ΤύποςΠερίληψη Δημοσίευσης σε Συνέδριοel
ΤύποςConference Paper Abstracten
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-28-
Ημερομηνία Δημοσίευσης2013-
Βιβλιογραφική ΑναφοράKleanthi Lakiotaki, Angelos Hliaoutakis, Serafim Koutsos and Euripides G.M. Petrakis.(2013, Nov.). Recommending medical documents by user profile.Presented at IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE 2013).[Online].Available:http://www.intelligence.tuc.gr/~petrakis/publications/BIBE2013_UserProfile.pdfen

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