Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation.

@article{Kennedy2006IdentificationOP,
  title={Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation.},
  author={Ruth Lee Kennedy and R. F. Harrison},
  journal={Heart},
  year={2006},
  volume={92 2},
  pages={
          183-9
        }
}
OBJECTIVE To derive statistical models for the diagnosis of acute coronary syndromes by using clinical and ECG information at presentation and to assess performance, portability, and calibration of these models, as well as how they may be used with cardiac marker proteins. DESIGN AND METHODS Data from 3462 patients in four UK teaching hospitals were used. Inputs for 8, 14, 25, and 43 factor logistic regression models were selected by using log10 likelihood ratios (log10 LRs). Performance was… CONTINUE READING

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