Skip to main content
Download PDF

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

Full size image
Fig. 2
figure 2

Important Features Based on Decision Tree Algorithm

Full size image
Fig. 3
figure 3

Precision-Recall Curve for Decision Tree model

Full size image
Fig. 4
figure 4

ROC Curve for Decision Tree model

Full size image
Fig. 5
figure 5

Precision-Recall Curve for SVM model

Full size image
Fig. 6
figure 6

ROC Curve for SVM modell

Full size image

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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farhad Saeedi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Christopher Hoyte
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Foster Goss
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Farshad M. Shirazi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Omid Mehrpour.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

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

BMC Pharmacology and Toxicology

ISSN: 2050-6511

Contact us