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Recommending medical documents by user profile

Petrakis Evripidis, Christos Tryfonopoulos, Nikos Zevlis, Paraskevi Raftopoulou

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URIhttp://purl.tuc.gr/dl/dias/6F822D25-9C47-4941-B12E-ABAED6355BE4-
Identifierhttp://www.intelligence.tuc.gr/~petrakis/publications/BIBE2013_UserProfile.pdf-
Languageen-
Extent4 pagesen
TitleRecommending medical documents by user profileen
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
Creator Christos Tryfonopoulosen
CreatorNikos Zevlisen
CreatorParaskevi Raftopoulouen
Creatoren
PublisherIEEEen
Content SummaryThe 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
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-28-
Date of Publication2013-
Bibliographic CitationKleanthi 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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