CARESS CARESS Clinical and Epidemiological Cancer Data Warehouse System and Tooling
Goal
CARESS is an epidemiological data warehouse system for the statistical evaluation of data, especially for cancer registries. In essence, CARESS contains all cancer epidemiological indicators for routine evaluations in a data warehouse. The key figure values can be queried via different interfaces. The data space used for this purpose can simply be restricted by the user with respect to different dimensions, such as the diagnosis period, age, sex, and diagnosis. Using the associated CARESS analysis software, the results of these calculations can be explored and exported in different ways, e.g., as a choroplete map, diagram, or table. Via an interface to the statistical software environment "R Project", users can also perform additional statistical evaluations. In addition, there are evaluation modules for the small-scale analysis of cancer cases, survival time analyzes with "periodR", as well as Kaplan-Meier survival time analyzes. These modules have been designed in such a way that users do not have to have technical knowledge, for example, to use the statistics language R. To perform a Kaplan-Meier survival analysis, it is sufficient to select the cohort period by mouse click and restrict the data space according to the desired analysis. For this purpose, the same control elements are used as with standard evaluations. Extensive reports are also available for interactive reporting.
CARESS is an extended version of MUSTANG for cancer registries, which contains more special evaluation options in addition to the standard OLAP evaluation option, for example the performance of survival time analyses. Since CARESS is technologically based on MUSTANG, the same requirements and descriptions apply to CARESS as you can always find on the Mustang project website https://www.mustang-analysis.de/
Scientific Director
Mirco JosefiokDavid KorfkampJan Witt; Proceedings of the Seventh International Conferences on Advanced Service Computing; 2015
David Korfkamp, Stefan Gudenkauf, Martin Rohde, Eunice Sirri, Joachim Kieschke, Kolja Blohm, Alexander Beck, Alexandr Puchkovskiy, H.-Jürgen Appelrath; Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI: Special Issue on Data Warehousing and Knowledge Discovery; 04 / 2016
A Puchkovskiy, S Gudenkauf; GMDS 2015; 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 08 / 2015
Korfkamp, David and Appelrath, Hans-Jürgen and Sirri, Eunice; GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS); 2013
Korfkamp, David and Sirri, Eunice; GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS); 2013
David Korfkamp,Stefan Gudenkauf,Martin Rohde,Eunice Sirri,Joachim Kieschke,H.-Jürgen Appelrath; Data Warehousing and Knowledge Discovery - 16th International Conference, DaWaK 2014; 09 / 2014
David Korfkamp, Stefan Gudenkauf, Joachim Kieschke; GMDS 2014: 59. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.; 09 / 2014
Martin Rohde, Stefan Gudenkauf, Joachim Kieschke, Claudia Vohmann; HEC 2016: Health – Exploring Complexity. Joint Conference of GMDS, DGEpi, IEA-EEF, EFMI. München, 28.08.-02.09.2016.; 08 / 2016
Stefan Gudenkauf, David Korfkamp, Kolja Blohm, Joachim Kieschke; 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 0September / 2017
David Korfkamp, Kolja Blohm, Christian Lüpkes, Andreas Hein; 63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 0September / 2018
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Duration
End: 30.11.-0001
Website of project
