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Pretest probability assessment derived from attribute matching

Authors:	Jeffrey?A?Kline author-information" > author-information__contact u-icon-before" > mailto:jkline@carolina.rr.com" title=" jkline@carolina.rr.com" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Charles?L?Johnson,Charles?V?Pollack Suffix" >Jr,Deborah?B?Diercks,Judd?E?Hollander,Craig?D?Newgard,J?Lee?Garvey

Affiliation:	(1) Department of Emergency Medicine, Carolinas Medical Center, Charlotte, NC, USA;(2) Computational Biology Program, BreathQuant Medical Systems Inc, Charlotte, NC, USA;(3) Department of Emergency Medicine, Pennsylvania Hospital, Philadelphia, PA, USA;(4) Department of Emergency Medicine, University of California at Davis, Sacramento, CA, USA;(5) Department of Emergency Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA;(6) Department of Emergency Medicine, Oregon Health & Science University Medical Center, Portland, OR, USA

Abstract:	Background Pretest probability (PTP) assessment plays a central role in diagnosis. This report compares a novel attribute-matching method to generate a PTP for acute coronary syndrome (ACS). We compare the new method with a validated logistic regression equation (LRE).

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