Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31085, first published .
Correction: A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study

Correction: A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study

Correction: A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study

Corrigenda and Addenda

1Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

2Department of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan

3Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

4Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

5Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan

6Division of Plastic Surgery, Department of Surgery, Taipei Medical University Hospital and School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

7Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

8Division of General Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

Ray-Jade Chen, MD, MSc

Department of Surgery

School of Medicine, College of Medicine

Taipei Medical University

No.250, Wuxing St.,

Taipei, 11031

Taiwan

Phone: 886 227372181 ext 3966

Email: rayjchen@tmu.edu.tw



In “A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study” (J Med Internet Res 2021;23(5):e27806), the authors noticed two errors.

In the originally published manuscript, authors Cheng-Sheng Yu and Shy-Shin Chang should have been denoted as having contributed equally to the paper but were not. A footnote clarifying equal contribution has now been added to each of the aforementioned authors.

Additionally, in the originally published manuscript, the Acknowledgments section was omitted. In the corrected version, a new Acknowledgments section has been added with the following statement:

This study is supported by the Ministry of Science and Technology Grant (MOST 110-2314-B-038-025) and Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan (DP2-110-21121-01-A-09). No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the article.

The correction will appear in the online version of the paper on the JMIR Publications website on July 9, 2021, 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.

This is a non–peer-reviewed article. submitted 09.06.21; accepted 10.06.21; published 09.07.21.

Copyright

©Cheng-Sheng Yu, Shy-Shin Chang, Tzu-Hao Chang, Jenny L Wu, Yu-Jiun Lin, Hsiung-Fei Chien, Ray-Jade Chen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.07.2021.

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, 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.