학술논문

Treatment data and technical process challenges for practical big data efforts in radiation oncology
Document Type
article
Source
Medical Physics. 45(10)
Subject
Medical and Biological Physics
Physical Sciences
Clinical Research
Cancer
Networking and Information Technology R&D (NITRD)
Data Mining
Databases
Factual
Humans
Information Storage and Retrieval
Medical Informatics
Motivation
Neoplasm Staging
Neoplasms
Radiation Oncology
big data
ontology
standardization
informatics
machine learning
Other Physical Sciences
Biomedical Engineering
Oncology and Carcinogenesis
Nuclear Medicine & Medical Imaging
Biomedical engineering
Medical and biological physics
Language
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.