Development and Validation of a Multimodal Machine Learning Model for Diagnosing and Assessing Risk of Crohn's Disease in Patients With Perianal Fistula
We have developed a multimodal machine learning model and a web tool that can predict and present CD risk in patients initially presenting with perianal fistula.
Authors
- Bolin Yang (ORCID: https://orcid.org/0000-0002-2474-4085)
- Hongjin Chen (ORCID: https://orcid.org/0009-0002-1820-2244)
- Xiaoxiao Wang (ORCID: https://orcid.org/0000-0002-8498-7388)
- Fen Yuan (ORCID: https://orcid.org/0000-0002-9287-4316)
- Zhenxing Zhu (ORCID: https://orcid.org/0000-0001-6948-9770)
- Weiming Zhu (ORCID: https://orcid.org/0000-0002-7591-3264)
- Can Wang (ORCID: https://orcid.org/0000-0002-6905-8126)
- Yuxia Gong
- Qi Chen (ORCID: https://orcid.org/0000-0002-0670-4397)
- Fan Yang (ORCID: https://orcid.org/0000-0003-3993-3070)
- Jing Li (ORCID: https://orcid.org/0009-0008-1301-2533)
- Xueliang Sun
- Lichao Qiao
- Heng Zhang (ORCID: https://orcid.org/0000-0001-7724-2102)
- Xiang Yu (ORCID: https://orcid.org/0009-0005-9336-419X)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Suzhou Traditional Chinese Medicine Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Alimentary Pharmacology & Therapeutics
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1111/apt.18455
- Citations
- 6
- Primary Topic
- Anorectal Disease Treatments and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.44
Funders
- Nanjing University of Chinese Medicine
- Nanjing University
- Priority Academic Program Development of Jiangsu Higher Education Institutions