Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. KEYWORDS: Data mining, Knowledge engineering, Machine learning, Medical informatics, Open source software
Roelofs, E., Dekker, A., Meldolesi, E., Van Stiphout, R., Valentini, V., Lambin, P., International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining, <<RADIOTHERAPY AND ONCOLOGY>>, N/A; 110 (2): 370-374. [doi:10.1016/j.radonc.2013.11.001] [http://hdl.handle.net/10807/52337]
International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining
Meldolesi, Elisa;Valentini, Vincenzo;
2014
Abstract
Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. KEYWORDS: Data mining, Knowledge engineering, Machine learning, Medical informatics, Open source software
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