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Correction: Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System

BMC Pharmacology and Toxicology volume 23, Article number: 68 (2022) Cite this article

The Original Article was published on 13 July 2022

Correction: BMC Pharmacol Toxicol 23, 49 (2022)

https://doi.org/10.1186/s40360-022-00588-0

Following publication of the original article [1], the authors identified some errors in Figs. 1, 2, 3, 4, 5 and 6. The correct figures are given below.

Fig. 1
figure 1

Decision Tree Model1

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Fig. 2
figure 2

Important Features Based on Decision Tree Algorithm

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Fig. 3
figure 3

Precision-Recall Curve for Decision Tree model

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Fig. 4
figure 4

ROC Curve for Decision Tree model

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Fig. 5
figure 5

Precision-Recall Curve for SVM model

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Fig. 6
figure 6

ROC Curve for SVM modell

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The original article [1] has been corrected.

Reference

  1. Mehrpour O, et al. Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System. BMC Pharmacol Toxicol. 2022;23:49. https://doi.org/10.1186/s40360-022-00588-0.

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Author information

Authors and Affiliations

  1. Data Science Institute, Southern Methodist University, Dallas, TX, USA

    Omid Mehrpour

  2. Rocky Mountain Poison & Drug Safety, Denver Health and Hospital Authority, Denver, CO, USA

    Omid Mehrpour

  3. Medical Toxicology and Drug Abuse Research Center (MTDRC, Birjand University of Medical Sciences (BUMS), Birjand, Iran

    Farhad Saeedi

  4. Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran

    Farhad Saeedi & Christopher Hoyte

  5. University of Colorado Anschutz Medical Campus, Aurora, CO, USA

    Christopher Hoyte

  6. University of Colorado Hospital, Aurora, CO, USA

    Foster Goss

  7. Department of Emergency Medicine, University of Colorado Hospital, Aurora, CO, USA

    Foster Goss

  8. Arizona Poison & Drug Information Center, the University of Arizona, College of Pharmacy and University of Arizona, College of Medicine, Tucson, AZ, USA

    Farshad M. Shirazi

Authors
  1. Omid Mehrpour
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  2. Farhad Saeedi
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  3. Christopher Hoyte
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  4. Foster Goss
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  5. Farshad M. Shirazi
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Corresponding author

Correspondence to Omid Mehrpour.

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Mehrpour, O., Saeedi, F., Hoyte, C. et al. Correction: Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System. BMC Pharmacol Toxicol 23, 68 (2022). https://doi.org/10.1186/s40360-022-00608-z

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  • DOI: https://doi.org/10.1186/s40360-022-00608-z

BMC Pharmacology and Toxicology

ISSN: 2050-6511

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