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

Akash Gupta; Tieming Liu; Scott Shepherd; William Paiva

doi:10.4258/hir.2018.24.3.250

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This corrects the article "Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA" on page 139.

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Gupta, Liu, Shepherd, and Paiva: Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA

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Healthcare Informatics Research 2018; 24(3): 250.

Published online: 31 July 2018

DOI: https://doi.org/10.4258/hir.2018.24.3.250

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

The Korean Society of Medical Informatics

(open-access):

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.

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, respectively.”

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

[2]

S e n s i t i v i t y = \frac{T P}{T P + F N}

[3]

S p e c i f i c i t y = \frac{T N}{T N + F P}

[4]

P o s i t i v e p r e d i c t i v e v a l u e = \frac{T P}{T P + F P}

[5]

N e g a t i v e p r e d i c t i v e v a l u e = \frac{T N}{T N + F N}

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