Needs and Challenges for Big Data in Radiation Oncology

Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):909-915. doi: 10.1016/j.ijrobp.2015.11.032. Epub 2015 Nov 27.

Authors

Todd R McNutt¹, Kevin L Moore², Harry Quon³

Affiliations

¹ Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland. Electronic address: tmcnutt1@jhmi.edu.
² Department of Radiation Oncology, University of California - San Diego, La Jolla, California.
³ Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.

PMID: 27302506
DOI: 10.1016/j.ijrobp.2015.11.032

No abstract available

Publication types

Editorial

MeSH terms

Data Mining / ethics
Data Mining / methods*
Databases, Factual
Humans
Informed Consent
Machine Learning
Needs Assessment*
Precision Medicine*
Radiation Oncology*