| Literature DB >> 24309199 |
Erik Roelofs1, André Dekker1, Vincenzo Valentini2, Philippe Lambin1, Elisa Meldolesi2, Ruud G P M van Stiphout1.
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.Entities:
Keywords: Data mining; Knowledge engineering; Machine learning; Medical informatics; Open source software
Mesh:
Year: 2013 PMID: 24309199 PMCID: PMC5228341 DOI: 10.1016/j.radonc.2013.11.001
Source DB: PubMed Journal: Radiother Oncol ISSN: 0167-8140 Impact factor: 6.280