International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining

Erik Roelofs; Andre Dekker; Elisa Meldolesi; Ruud G. P. M. van Stiphout; Vincenzo Valentini; Philippe Lambin

doi:10.1016/j.radonc.2013.11.001

International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining

Erik Roelofs, Andre Dekker^*, Elisa Meldolesi, Ruud G. P. M. van Stiphout, Vincenzo Valentini, Philippe Lambin

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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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.

Original language	English
Pages (from-to)	370-374
Journal	Radiotherapy and Oncology
Volume	110
Issue number	2
DOIs	https://doi.org/10.1016/j.radonc.2013.11.001
Publication status	Published - Feb 2014

Keywords

Medical informatics
Knowledge engineering
Machine learning
Data mining
Open source software

Access to Document

10.1016/j.radonc.2013.11.001

Full TextFinal published version, 715 KBLicence: Taverne

Cite this

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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. ",

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AU - Valentini, Vincenzo

AU - Lambin, Philippe

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KW - Open source software

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