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Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA

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1. In Line 10 of Abstract, the figure of DT (DT = 0.89) should be changed to 0.82 (DT = 0.82). The corrected sentence is “For qSOFA, the sensitivity and specificity were DT = 0.39, LR = 0.64, NB = 0.62 and DT = 0.82, LR = 0.63, NB = 0.66, respec- tively.”

2. The multiplication notations (x) placed in the denominators of Equations (2), (3), (4) and (5) should be changed to addi- tion signs (+) on the second column in Page 141. The correct equations are as follows.

Sensitivity = TP+FNTP (2)

Specificity = TN+FPTN (3)

Positive predictive value = TP+FPTP (4)

Negative predictive value = TN+FNTN (5)

Correction: Using Statistical and Machine

Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA

Akash Gupta, MS, Tieming Liu, PhD, Scott Shepherd, DO, FACP, William Paiva, PhD

http://dx.doi.org/10.4258/hir.2018.24.2.139 Healthc Inform Res 2018;24(2):139-47

Healthc Inform Res. 2018 July;24(3):250.

https://doi.org/10.4258/hir.2018.24.3.250 pISSN 2093-3681 • eISSN 2093-369X

Erratum

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

2018 The Korean Society of Medical Informatics

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