| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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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 |
Retrospective Study |
| Article Title |
Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jing Mao, Kang Chao, Fu-Lin Jiang, Xiao-Ping Ye, Ting Yang, Pan Li, Xia Zhu, Pin-Jin Hu, Bai-Jun Zhou, Min Huang, Xiang Gao and Xue-Ding Wang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81973398 |
| National Natural Science Foundation of China |
81730103 |
| National Natural Science Foundation of China |
81573507 |
| National Natural Science Foundation of China |
82020108031 |
| The National Key Research and Development Program |
2017YFC0909300 |
| The National Key Research and Development Program |
2016YFC0905001 |
| Guangdong Provincial Key Laboratory of Construction Foundation |
2017B030314030 |
| Guangdong Provincial Key Laboratory of Construction Foundation |
2020B1212060034 |
| Science and Technology Program of Guangzhou |
201607020031 |
| National Engineering and Technology Research Center for New Drug Druggability Evaluation (Seed Program of Guangdong Province) |
2017B090903004 |
| The 111 Project |
B16047 |
| China Postdoctoral Science Foundation |
2019M66324 |
| China Postdoctoral Science Foundation |
2020M683140 |
| China Postdoctoral Science Foundation |
2020M683139 |
| Natural Science Foundation of Guangdong Province |
2022A1515012549 |
| Natural Science Foundation of Guangdong Province |
2023A1515012667 |
|
| Corresponding Author |
Xue-Ding Wang, PharmD, Professor, Teacher, Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, No. 132 Waihuan Dong Road, Guangzhou 510006, Guangdong Province, China. wangxd@mail.sysu.edu.cn |
| Key Words |
Thalidomide-induced peripheral neuropathy; Refractory Crohn’s disease; Neurotoxicity prediction models; Machine learning; Gene polymorphisms |
| Core Tip |
Thalidomide-induced peripheral neuropathy (TiPN) is a life-threatening condition in Crohn's disease and has a high incidence in Asia. However, there are no effective medical interventions for TiPN. Here, we established a predictive model using machine learning and identified genes closely related to TiPN occurrence. We have found that extreme gradient boosting algorithm can sensitively identify patients who are prone to TiPN, which is useful for doctors to adjust the thalidomide therapy. |
| Publish Date |
2023-06-28 10:03 |
| Citation |
Mao J, Chao K, Jiang FL, Ye XP, Yang T, Li P, Zhu X, Hu PJ, Zhou BJ, Huang M, Gao X, Wang XD. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population. World J Gastroenterol 2023; 29(24): 3855-3870 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i24/3855.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i24.3855 |
