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Identifying Risk Factors for Poor Efficacy of Adalimumab Treatment in Patients With Crohn's Disease: Insights From Machine Learning Models.

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Title: Identifying Risk Factors for Poor Efficacy of Adalimumab Treatment in Patients With Crohn's Disease: Insights From Machine Learning Models.
Authors: Li, Xiaojun1,2 (AUTHOR), Tang, Maomao1,2,3 (AUTHOR), Zhang, Jie1,2 (AUTHOR), Wang, Yongjun1,2 (AUTHOR), Wang, Chunlian1,2 (AUTHOR), Ouyang, Chunhui1,2,4 (AUTHOR) doctoroych@csu.edu.cn, Cho, Yung-Tsu (AUTHOR)
Source: Dermatologic Therapy. 6/12/2025, Vol. 2025, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Identifying Risk Factors for Poor Efficacy of Adalimumab Treatment in Patients With Crohn's Disease: Insights From Machine Learning Models.
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  Data: <searchLink fieldCode="JN" term="%22Dermatologic+Therapy%22">Dermatologic Therapy</searchLink>. 6/12/2025, Vol. 2025, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185907824
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1155/dth/1996661
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      – Code: eng
        Text: English
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        PageCount: 19
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      – TitleFull: Identifying Risk Factors for Poor Efficacy of Adalimumab Treatment in Patients With Crohn's Disease: Insights From Machine Learning Models.
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            NameFull: Li, Xiaojun
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            NameFull: Tang, Maomao
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            NameFull: Zhang, Jie
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            NameFull: Wang, Yongjun
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            NameFull: Wang, Chunlian
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            NameFull: Ouyang, Chunhui
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            NameFull: Cho, Yung-Tsu
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            – D: 12
              M: 06
              Text: 6/12/2025
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              Y: 2025
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            – TitleFull: Dermatologic Therapy
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