Treatment data and technical process challenges for practical big data efforts in radiation oncology Journal Article


Authors: Mayo, C. S.; Phillips, M.; McNutt, T. R.; Palta, J.; Dekker, A.; Miller, R. C.; Xiao, Y.; Moran, J. M.; Matuszak, M. M.; Gabriel, P.; Ayan, A. S.; Prisciandaro, J.; Thor, M.; Dixit, N.; Popple, R.; Killoran, J.; Kaleba, E.; Kantor, M.; Ruan, D.; Kapoor, R.; Kessler, M. L.; Lawrence, T. S.
Article Title: Treatment data and technical process challenges for practical big data efforts in radiation oncology
Abstract: The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided. © 2018 American Association of Physicists in Medicine
Keywords: clinical practice; standardization; radiation oncology; information science; informatics; ontology; machine learning; human; article; big data
Journal Title: Medical Physics
Volume: 45
Issue: 10
ISSN: 0094-2405
Publisher: American Association of Physicists in Medicine  
Date Published: 2018-10-01
Start Page: e793
End Page: e810
Language: English
DOI: 10.1002/mp.13114
PROVIDER: scopus
PUBMED: 30226286
DOI/URL:
Notes: Conference Paper -- Export Date: 1 November 2018 -- Source: Scopus
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MSK Authors
  1. Maria Elisabeth Thor
    61 Thor