Introduction to Big Data in Radiation Oncology: Exploring Opportunities for Research, Quality Assessment, and Clinical Care

International Journal of Radiation Oncology Biology Physics

Volumn 95, Issue 3, 2016, Pages 871-872

  Benedict, Stanley H ^a   El Naqa, Issam ^b   Klein, Eric E ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c LONG ISLAND JEWISH MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER THERAPY; EDITORIAL; GENETIC CODE; HUMAN; MEDICAL RESEARCH; PATIENT CARE; PERSONALIZED MEDICINE; PRIORITY JOURNAL; QUALITY CONTROL; RADIATION ONCOLOGY; RADIOTHERAPY; CONSENSUS DEVELOPMENT; DATA MINING; HEALTH CARE QUALITY; MEDICAL SOCIETY; NATIONAL HEALTH ORGANIZATION; UNITED STATES;

BIOMEDICAL RESEARCH; DATA MINING; HUMANS; NATIONAL INSTITUTES OF HEALTH (U.S.); PRECISION MEDICINE; QUALITY ASSURANCE, HEALTH CARE; RADIATION ONCOLOGY; RADIOTHERAPY; SOCIETIES, MEDICAL; UNITED STATES;

EID: 85009861401     PISSN: 03603016     EISSN: 1879355X     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2015.12.358     Document Type: Editorial

References (3)

1. 1 McNutt, T., Wong, J., Purdy, J., et al. OncoSpace: A new paradigm for clinical research and decision support in radiation oncology. Proceedings of the XVIth International Conference on Computers in Radiotherapy, 2010, the Netherlands; Conference proceedings, Amsterdam.
2. 2 Roelofs, E., Persoon, L., Nijsten, S., et al. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial. Radiother Oncol 108 (2013), 174–179.
3. 3 West, C., Rosenstein, B.S., Establishment of a radiogenomics consortium. Int J Radiat Oncol Biol Phys 76 (2010), 1295–1296.