A SOA statistical engine for biomedical data.

@article{citeulike:3103564, abstract = {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.}, address = {Department of Internal Medicine and Public Health, University of L'Aquila, Via S. Salvatore 1, 67010 L'Aquila, Italy.}, author = {Vittorini, Pierpaolo and Michetti, Monica and di Orio, Ferdinando }, citeulike-article-id = {3103564}, doi = {http://dx.doi.org/10.1016/j.cmpb.2008.06.006}, issn = {0169-2607}, journal = {Computer methods and programs in biomedicine}, keywords = {text-mining}, month = {July}, posted-at = {2008-08-09 12:47:09}, priority = {2}, title = {A SOA statistical engine for biomedical data.}, url = {http://dx.doi.org/10.1016/j.cmpb.2008.06.006}, year = {2008} }

TY - JOUR ID - citeulike:3103564 L3 - citeulike-article-id:3103564 N2 - 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. JF - Computer methods and programs in biomedicine SN - 0169-2607 AD - Department of Internal Medicine and Public Health, University of L'Aquila, Via S. Salvatore 1, 67010 L'Aquila, Italy. TI - A SOA statistical engine for biomedical data. KW - text-mining AU - Vittorini, Pierpaolo AU - Michetti, Monica AU - di Orio, Ferdinando PY - 2008/07/25/ UR - http://dx.doi.org/10.1016/j.cmpb.2008.06.006 ER -