A simple approach for eliminating spam

Affiliations

¹ Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa Ottawa, Ontario.
² Department of Medicine University of Toronto, Toronto, Ontario.
³ Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa and Division of Medical Oncology, The Ottawa Hospital Ottawa, Ontario.

Sasha Mazzarello et al. Curr Oncol. 2016 Feb.

. 2016 Feb;23(1):e75-6.

doi: 10.3747/co.23.2860. Epub 2016 Feb 18.

¹ Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa Ottawa, Ontario.
² Department of Medicine University of Toronto, Toronto, Ontario.
³ Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa and Division of Medical Oncology, The Ottawa Hospital Ottawa, Ontario.

No abstract available

Figures

1. Mazzarello S, Clemons M, Graham ID, Joy AA, Smith S, Jacobs CM. Third-party online surveys—science, selling, or sugging? Curr Oncol. 2015;22:182–3. doi: 10.3747/co.22.2448. - DOI - PMC - PubMed
1. Geynisman DM. e-Mail anonymous: a physician’s addiction. J Clin Oncol. 2015;33:285–6. doi: 10.1200/JCO.2014.58.9705. - DOI - PubMed
1. Laorden C, Ugarte-Pedrero X, Santos I, et al. Study on the effectiveness of anomaly detection for spam filtering. Inf Sci (NY) 2014;277:421–44. doi: 10.1016/j.ins.2014.02.114. - DOI
1. Canadian Radio-television and Telecommunications Commission (crtc) Compliance and Enforcement Information Bulletin CRTC 2012-548. Ottawa, ON: CRTC; 2010. [Available online at: http://www.crtc.gc.ca/eng/archive/2012/2012-548.htm; cited 4 April 2015]
1. United States Federal Communications Commission (fcc) Spam: Unwanted Text Messages and Email [Web page] Washington, DC: FCC; 2014. [Current version available at: http://www.fcc.gov/guides/spam-unwanted-text-messages-and-email; cited 27 April 2015]