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

Vincenzo Valentini; Elisa Meldolesi; Erik Roelofs; André Dekker; Ruud G.P.M. Van Stiphout; 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

Vincenzo Valentini, Elisa Meldolesi, Erik Roelofs, André Dekker, Ruud G.P.M. Van Stiphout, Philippe Lambin

Risultato della ricerca: Contributo in rivista › Articolo in rivista

46 Citazioni (Scopus)

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

Lingua originale	English
pagine (da-a)	N/A-N/A
Rivista	Radiotherapy and Oncology
DOI	https://doi.org/10.1016/j.radonc.2013.11.001
Stato di pubblicazione	Pubblicato - 2013

Keywords

DATA MINING
Knowledge engineering

Accesso al documento

10.1016/j.radonc.2013.11.001

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T1 - International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining

AU - Valentini, Vincenzo

AU - Meldolesi, Elisa

AU - Roelofs, Erik

AU - Dekker, André

AU - Van Stiphout, Ruud G.P.M.

AU - Lambin, Philippe

PY - 2013

Y1 - 2013

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AB - 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

KW - DATA MINING

KW - Knowledge engineering

KW - DATA MINING

KW - Knowledge engineering

UR - http://hdl.handle.net/10807/52337

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DO - 10.1016/j.radonc.2013.11.001

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JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

SN - 0167-8140

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