Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10017652 | Annals of Emergency Medicine | 2005 | 9 Pages |
Abstract
This study confirms that artificial neural networks can offer a useful approach for developing diagnostic algorithms for chest pain patients; however, the exceptional performance and simplicity of the logistic model militates in favor of logistic regression for the present task. Our artificial neural network models were well calibrated and performed well on unseen data from different centers. These issues have not been addressed in previous studies. However, and unlike in previous studies, we did not find the performance of artificial neural network models to be significantly different from that of suitably optimized logistic regression models.
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Authors
Robert F. BSc, PhD, R. Lee MD, PhD,