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Articles Published Processes
1/25/2022 9:22:03 AM | Browse: 443 | Download: 794
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Received |
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2021-07-27 15:31 |
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Peer-Review Started |
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2021-07-27 15:34 |
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To Make the First Decision |
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Return for Revision |
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2021-10-03 06:33 |
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Revised |
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2021-10-07 17:35 |
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Second Decision |
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2022-01-15 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-01-17 05:28 |
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Articles in Press |
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2022-01-17 05:28 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-01-13 18:48 |
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Typeset the Manuscript |
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2022-01-24 02:53 |
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Publish the Manuscript Online |
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2022-01-25 09:22 |
| ISSN |
1007-9327 (print) and 2219-2840 (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: http://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 |
Medicine, Research & Experimental |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Artificial intelligence model validation before its application in clinical diagnosis assistance
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Gustavo Jesus Vazquez-Zapien, Monica Maribel Mata-Miranda, Francisco Garibay-Gonzalez and Miguel Sanchez-Brito |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Miguel Sanchez-Brito, MD, PhD, Research Assistant Professor, Instituto Tecnológico de Zacatepec, Industrial Engineering, TecNM, Plan de Ayala, Zacatepec 62780, Morelos, Mexico. miguel.sb@zacatepec.tecnm.mx |
| Key Words |
Artificial intelligence; Diagnostic assistance; Validation tests; Leave-one-out cross-validation; K-fold validation; Hold-out validation |
| Core Tip |
The validation tests and the process to adopt a particular artificial intelligence (AI) model are relevant. The percentages of accuracy, sensitivity, and specificity obtained through validation techniques are strong indicators of whether the AI model is suitable for implementation in clinical practice or whether it will be necessary to continue acquiring samples. |
| Publish Date |
2022-01-25 09:22 |
| Citation |
Vazquez-Zapien GJ, Mata-Miranda MM, Garibay-Gonzalez F, Sanchez-Brito M. Artificial intelligence model validation before its application in clinical diagnosis assistance. World J Gastroenterol 2022; 28(5): 602-604 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i5/602.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i5.602 |
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