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Data integration approaches for supporting retrieval of medical information in the Web

Andrianakis Stamatios

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Year 2015
Type of Item Master Thesis
Bibliographic Citation Σταμάτιος Ανδριανάκης, "Data integration approaches for supporting retrieval of medical information in the Web", Μεταπτυχιακή Διατριβή, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2015
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In recent years, the World Wide Web has become the basic source of scientific information. Especially for medical information, several Medical Information Systems have been developed in order to store and organize medical data and make it available to users through specialized search engines provided by them, or through general purpose search engines like Google.Vast amount of medical data available in the Web and the large number of Medical Information Systems make the search process of reliable medical information a time-consuming and sometimes difficult process. This work presents an integration method for search and retrieval of medical data and MIIDLE, an integration system for search and retrieval of medical information from heterogeneous sources.MIIDLE utilizes MeSH, the National Library of Medicine's controlled vocabulary thesaurus as a common vocabulary for the integration process. Using AMTEx method, it extracts medical terms from the retrieved data, and it expands the query used for the retrieval with MeSH terms. Combining the extracted terms with the expanded query it ranks the results with respect to their relevance using Vector Space Model.MIIDLE results are evaluated by users and its performance is compared with the performance of the sources that it accesses.

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