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

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

Università Cattolica del Sacro Cuore

Maastricht University Medical Center

Research output: Contribution to journal › Article

47 Citations (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

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

Keywords

DATA MINING
Knowledge engineering

Access to Document

10.1016/j.radonc.2013.11.001

Cite this

@article{efe5472a1159413b8fc6a1e5983b3bc8,

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

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 {\textcopyright} 2013 Elsevier Ireland Ltd. All rights reserved. KEYWORDS: Data mining, Knowledge engineering, Machine learning, Medical informatics, Open source software",

keywords = "DATA MINING, Knowledge engineering, DATA MINING, Knowledge engineering",

author = "Erik Roelofs and Andr{\'e} Dekker and Elisa Meldolesi and \{Van Stiphout\}, \{Ruud G.P.M.\} and Vincenzo Valentini and Philippe Lambin",

year = "2014",

doi = "10.1016/j.radonc.2013.11.001",

language = "English",

volume = "110",

pages = "370--374",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

}

TY - JOUR

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

AU - Roelofs, Erik

AU - Dekker, André

AU - Meldolesi, Elisa

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

AU - Valentini, Vincenzo

AU - Lambin, Philippe

PY - 2014

Y1 - 2014

N2 - 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

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

U2 - 10.1016/j.radonc.2013.11.001

DO - 10.1016/j.radonc.2013.11.001

M3 - Article

SN - 0167-8140

VL - 110

SP - 370

EP - 374

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this