Random sampling from database files: a survey
SSDBM V Proceedings of the fifth international conference on Statistical and scientific database management
OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Reuse-based software engineering: techniques, organization, and controls
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Effective Healthcare Information Systems
Effective Healthcare Information Systems
Heterogeneous database integration in biomedicine
Computers and Biomedical Research
Strategic IT applications in health care
Communications of the ACM
Web Engineering: Creating a Discipline among Disciplines
IEEE MultiMedia
eXist: An Open Source Native XML Database
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
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Bridging the gap between OLAP and SQL
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
Medical informatics: computer applications in health care and biomedicine (Health informatics)
Medical informatics: computer applications in health care and biomedicine (Health informatics)
Revolutionary impact of XML on biomedical information interoperability
IBM Systems Journal
DHLAS: A web-based information system for statistical genetic analysis of HLA population data
Computer Methods and Programs in Biomedicine
A database for medical image management
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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Currently, large efforts are spent to develop standards and architectures useful to achieve more effective interoperability among medical information systems. Despite such efforts, there are no researches produced so far to directly analyse, with statistical methods, biomedical data represented as eXtensible Markup Language (XML) documents. Thus, the paper proposes an architecture which offers a twofold approach to the statistical analysis of XML data, i.e. via a web service and by extending the query languages used in XML databases. To show how the architecture can be used, a sample system is also reported. Finally, the paper ends by reporting the advantages and drawbacks of the proposed approach in comparison with classic statistical packages.