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The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine

The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine

A parallel step in efficient access and understanding came when Brian Haynes, founder of the Hi RU, and colleagues from around the world petitioned medical journal editors to require more informative abstracts for clinically important articles.

Cynthia Lokker, K Ann McKibbon, Muhammad Afzal, Tamara Navarro, Lori-Ann Linkins, R Brian Haynes, Alfonso Iorio

J Med Internet Res 2024;26:e58764

Correction: Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

Correction: Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

The precision of the original report of the Haynes 1994 filter should be 22% and not 0.22. This leads to the F-measure being 36 and the NNR being 4.5.

Robert G Badgett, Nader Shaikh, Mini Pi, Nancy L Wilczynski, K. Ann McKibbon, Andrea M. Ketchum, R. Brian Haynes

J Med Internet Res 2012;14(4):e108

Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline

For example, the label “Haynes-2004-Sensitive” refers to the filter described by Haynes et al in their 2004 publication with the highest sensitivity (ie, the filter with the highest recall). Finally, we tested whether a combination of the best filters would improve performance. Authors of systematic reviews often examine reference lists hoping to increase recall. We examined how this strategy would complement the use of filters in the area of clinical examination.

Nader Shaikh, Robert G. Badgett, Mina Pi, Nancy L. Wilczynski, K. Ann McKibbon, Andrea M. Ketchum, R. Brian Haynes

J Med Internet Res 2011;13(4):e82