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3.  Are Editors free from bias? The special case of Letters to the Editor 
Injury Prevention  2006;12(6):353-355.
doi:10.1136/ip.2006.014472
PMCID: PMC2564407  PMID: 17170177
5.  Letter to the Editor 
Human Genomics  2006;2(5):272-273.
doi:10.1186/1479-7364-2-5-272
PMCID: PMC3500176  PMID: 16595071
13.  Letter to the Editor 
PMCID: PMC3266154  PMID: 22175053
14.  Letter to the Editor 
doi:10.1007/s12663-011-0254-5
PMCID: PMC3267911  PMID: 23204759
15.  Letter from the editor 
Spermatogenesis  2012;2(4):237.
doi:10.4161/spmg.22648
PMCID: PMC3521744  PMID: 23248763
16.  Letter to the Editor 
Human Genomics  2006;2(6):343-344.
doi:10.1186/1479-7364-2-6-343
PMCID: PMC3525163  PMID: 16848971
17.  Letter From the Editor 
doi:10.5770/cgj.15.46
PMCID: PMC3516244  PMID: 23259014
18.  Letter from the Editor 
Organogenesis  2012;8(3):76.
doi:10.4161/org.23023
PMCID: PMC3527319  PMID: 23187723
19.  Letters to the Editor 
The Ochsner Journal  2012;12(4):394-395.
PMCID: PMC3527872  PMID: 23267271
21.  Authors' Response to a Letter to the Editor 
Eye  2011;26(1):167-168.
doi:10.1038/eye.2011.261
PMCID: PMC3259591
22.  LETTER TO THE EDITOR: ELECTROMAGNETIC HYPERSENSITIVITY 
doi:10.3109/00207454.2012.675377
PMCID: PMC3428921  PMID: 22435396
23.  Letter from the Editor 
PMCID: PMC3533207  PMID: 23293562
24.  Letter from the Editor 
PMCID: PMC3533217  PMID: 23293551
25.  Automatic Adverse Drug Events Detection Using Letters to the Editor 
AMIA Annual Symposium Proceedings  2012;2012:1030-1039.
We present and test the intuition that letters to the editor in journals carry early signals of adverse drug events (ADEs). Surprisingly these letters have not yet been exploited for automatic ADE detection unlike for example, clinical records and PubMed. Part of the challenge is that it is not easy to access the full-text of letters (for the most part these do not appear in PubMed). Also letters are likely underrated in comparison with full articles. Besides demonstrating that this intuition holds we contribute techniques for post market drug surveillance. Specifically, we test an automatic approach for ADE detection from letters using off-the-shelf machine learning tools. We also involve natural language processing for feature definitions. Overall we achieve high accuracy in our experiments and our method also works well on a second new test set. Our results encourage us to further pursue this line of research.
PMCID: PMC3540506  PMID: 23304379

Results 1-25 (17250)