| Literature DB >> 30226286 |
C S Mayo1, M Phillips2, T R McNutt3, J Palta4, A Dekker5, R C Miller6, Y Xiao7, J M Moran1, M M Matuszak1, P Gabriel7, A S Ayan8, J Prisciandaro1, M Thor9, N Dixit10, R Popple11, J Killoran12, E Kaleba1, M Kantor13, D Ruan14, R Kapoor3, M L Kessler1, T S Lawrence1.
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.Entities:
Keywords: big data; informatics; machine learning; ontology; standardization
Mesh:
Year: 2018 PMID: 30226286 PMCID: PMC8082598 DOI: 10.1002/mp.13114
Source DB: PubMed Journal: Med Phys ISSN: 0094-2405 Impact factor: 4.071