This paper is in the following e-collection/theme issue:

Corrigenda and Addenda (106)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33519, first published .
Correction: Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach

Correction: Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach

Correction: Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach

Authors of this article:

Marvin Chia-Han Yeh1, 2 Author Orcid Image ;   Yu-Hsiang Wang3 Author Orcid Image ;   Hsuan-Chia Yang4, 5 Author Orcid Image ;   Kuan-Jen Bai6, 7, 8 Author Orcid Image ;   Hsiao-Han Wang1, 2, 4, 9 Author Orcid Image ;   Yu-Chuan Jack Li1, 2, 4, 5, 9 Author Orcid Image
Article Authors Cited by Tweetations (8) Metrics

    Corrigenda and Addenda

    1Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

    2Research Center of Big Data and Meta-analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

    3School of Medicine, Taipei Medical University, Taipei, Taiwan

    4Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

    5International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan

    6Division of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

    7School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan

    8Pulmonary Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

    9Department of Dermatology, School of Medicine, Taipei Medical University, Taipei, Taiwan

    *these authors contributed equally

    Corresponding Author:

    Yu-Chuan Jack Li, MD, PhD

    Department of Dermatology

    Wan Fang Hospital

    Taipei Medical University

    No 111, Section 3, Xinglong Road

    Wenshan District

    Taipei, 116

    Taiwan

    Phone: 886 29307930 ext 2980

    Email: jaak88@gmail.com



    Correction: Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach

    In “Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach” (J Med Internet Res 2021;23(8):e26256), two errors were noted.

    Due to a system error, the name of one author, Marvin Chia-Han Yeh, was replaced with the name of another author on the paper, Hsuan-Chia Yang. As well, the formatting of the author name "Yu-Chuan (Jack) Li" has been changed to "Yu-Chuan Jack Li" in the corrected version of the paper.

    In the originally published paper, the order of authors was listed as follows:

    Hsuan-Chia Yang, Yu-Hsiang Wang, Hsuan-Chia Yang, Kuan-Jen Bai, Hsiao-Han Wang, Yu-Chuan (Jack) Li.

    This has been corrected to:

    Marvin Chia-Han Yeh, Yu-Hsiang Wang, Hsuan-Chia Yang, Kuan-Jen Bai, Hsiao-Han Wang, Yu-Chuan Jack Li.

    In the originally published paper, the ORCID of author Hsuan-Chia Yang was incorrectly published as follows:

    0000-0001-6710-4435

    This has been corrected to:

    0000-0001-9198-0697

    The correction will appear in the online version of the paper on the JMIR Publications website on October 15, 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 10.09.21; accepted 10.09.21; published 15.10.21.

    Copyright

    ©Marvin Chia-Han Yeh, Yu-Hsiang Wang, Hsuan-Chia Yang, Kuan-Jen Bai, Hsiao-Han Wang, Yu-Chuan Jack Li. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.10.2021.

    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.