Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85415, first published .
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Corrigenda and Addenda

1Sensyne Health, plc, Oxford, United Kingdom

2Department of Engineering Science, University of Oxford, Oxford, United Kingdom

3Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom

4Nuffield Department of Women’s Reproductive Health, University of Oxford, Oxford, United Kingdom

Corresponding Author:

Carmelo Velardo, PhD

Sensyne Health, plc

Schrodinger Building

Heatley Road

Oxford, OX4 4GE

United Kingdom

Phone: 44 0330 058 1845

Email: carmelo.velardo@sensynehealth.com



In “Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation” [1] the JMIR editors noted one error.

The Figure 6 originally published has been revised due to a typo. The new Figure 6 replacing the originally published one is below.

The previous version of Figure 6 can be found in Multimedia Appendix 1.

The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Figure 6. Experimental results. (a) ROC curve depicting the 100 repetitions of the classification experiment (see Figure 3). (b) Histogram showing the distribution of AUC values for all 100 experiments. (c) Ranking of selected variables over 100 repeated experiments. (d) Top ten variables out of 100 repeated experiments. AUC: area under the curve; FPR: false-positive rate; ROC: receiver operating characteristic; TPR: true-positive rate.
Multimedia Appendix 1

Originally published Figure 6.

PDF File (Adobe PDF File), 69 KB

  1. Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L, Mackillop L. Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation. J Med Internet Res. Mar 10, 2021;23(3):e21435. [FREE Full text] [CrossRef] [Medline]

This is a non–peer-reviewed article. submitted 07.Oct.2025; accepted 09.Oct.2025; published 15.Oct.2025.

Copyright

©Carmelo Velardo, David Clifton, Steven Hamblin, Rabia Khan, Lionel Tarassenko, Lucy Mackillop. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.Oct.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.