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Articles Published Processes
7/19/2022 7:32:06 AM | Browse: 364 | Download: 808
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Received |
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2022-02-23 19:43 |
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Peer-Review Started |
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2022-02-23 19:44 |
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To Make the First Decision |
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Return for Revision |
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2022-05-11 22:33 |
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Revised |
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2022-05-18 01:30 |
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Second Decision |
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2022-06-10 03:03 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-06-17 22:43 |
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Articles in Press |
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2022-06-17 22:43 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-07-07 08:58 |
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Publish the Manuscript Online |
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2022-07-19 07:32 |
ISSN |
2220-3206 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Psychiatry |
Manuscript Type |
Minireviews |
Article Title |
Social media and schizophrenia: An update on clinical applications
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Manuscript Source |
Invited Manuscript |
All Author List |
Lakshan N Fonseka and Benjamin K P Woo |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Benjamin K P Woo, MD, Professor, Chinese American Health Promotion Program, Department of Psychiatry and Biobehavioral Sciences, Olive View-University of California, Los Angeles Medical Center, 14445 Olive View Drive, Sylmar, CA 91104, United States. bkpwoo@gmail.com |
Key Words |
Social media; Schizophrenia; Digital phenotype; Facebook; YouTube; Instagram |
Core Tip |
Recent literature demonstrates that social media data analysis guided by machine learning can differentiate users with schizophrenia from healthy controls as well as predict conversion to psychosis and symptom exacerbations. Novel platforms such as Horyzons can improve social functioning in schizophrenia patients, but long-term engagement is a challenge that may be addressed by streamlining the user experience. |
Publish Date |
2022-07-19 07:32 |
Citation |
Fonseka LN, Woo BKP. Social media and schizophrenia: An update on clinical applications. World J Psychiatry 2022; 12(7): 897-903 |
URL |
https://www.wjgnet.com/2220-3206/full/v12/i7/897.htm |
DOI |
https://dx.doi.org/10.5498/wjp.v12.i7.897 |
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