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

Corrigenda and Addenda (117)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69042, first published .
Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Authors of this article:

Minseok Hong1, 2 Author Orcid Image ;   Ri-Ra Kang3 Author Orcid Image ;   Jeong Hun Yang2, 4 Author Orcid Image ;   Sang Jin Rhee1 Author Orcid Image ;   Hyunju Lee1 Author Orcid Image ;   Yong-gyom Kim3 Author Orcid Image ;   KangYoon Lee3, 5 Author Orcid Image ;   HongGi Kim6 Author Orcid Image ;   Yu Sang Lee7 Author Orcid Image ;   Tak Youn8, 9 Author Orcid Image ;   Se Hyun Kim1, 2 Author Orcid Image ;   Yong Min Ahn1, 2, 10 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Corrigenda and Addenda

1Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea

2Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea

3Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea

4Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea

5Department of Computer Engineering, Gachon University, Seongnam-si, Republic of Korea

6Healthconnect Co. Ltd., Seoul, Republic of Korea

7Department of Psychiatry, Yong-In Mental Hospital, Yongin-si, Republic of Korea

8Department of Psychiatry and Electroconvulsive Therapy Center, Dongguk University International Hospital, Goyang-si, Republic of Korea

9Institute of Buddhism and Medicine, Dongguk University, Seoul, Republic of Korea

10Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea

Corresponding Author:

Yong Min Ahn, MD, PhD

Department of Neuropsychiatry

Seoul National University Hospital

101 Daehak-ro

Jongno-Gu

Seoul, 03080

Republic of Korea

Phone: 82 2 2072 2450

Fax:82 2 766 2450

Email: aym@snu.ac.kr



In “Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study” (J Med Internet Res 2024;26:e65994), a few errors were noted.

1. The following sentence:

However, significant variations were observed across wards, which presents a key challenge…

has been corrected to:

However, significant variations were observed across wards, which present a key challenge…

2. The following sentence:

Despite lower computational costs, Multi models demonstrated equivalent or superior performance than Single models…

has been corrected to:

Despite lower computational costs, Multi models demonstrated equivalent or superior performance to Single models…

3. The following sentence:

…installed in each patient’s room and common areas

has been corrected to:

…installed in each patient’s room and common areas.

4. The following sentence:

The analysis code is publicly [77].

has been corrected to:

The analysis code is publicly available [77].

5. The following sentence:

…the YMRS performed the least accurately in in external validation…

has been revised to:

…the YMRS performed the least accurately in external validation…

The correction will appear in the online version of the paper on the JMIR Publications website on December 3, 2024, together with the publication of this correction notice. Because these corrections were 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 20.11.24; accepted 20.11.24; published 03.12.24.

Copyright

©Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, Sang Jin Rhee, Hyunju Lee, Yong-gyom Kim, KangYoon Lee, HongGi Kim, Yu Sang Lee, Tak Youn, Se Hyun Kim, Yong Min Ahn. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 03.12.2024.

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.