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. 2019 Sep 18;2(4):528–537. doi: 10.1093/jamiaopen/ooz040

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© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — Receiver Operating Characteristic Curve (ROC) of Statistical Classifiers Evaluated using the Test Set of 146 Patients. The area under the curve (AUC) of classifier with CCR and NLP features is 0.925 with 95% confidence interval 0.880–0.969. The AUC of the classifier with CCR features only is 0.789 with 95% confidence interval 0.716–0.861. The AUC of classifier with NLP features is 0.917 with 95% confidence interval 0.868–0.966.