Development and Validation of Predictive Models for Inflammatory Bowel Disease Diagnosis: A Machine Learning and Nomogram-Based Approach
This study utilized three cohorts and developed risk prediction models for IBD, CD, and UC with good diagnostic capability, based on conventional laboratory data using ML and nomogram.
Authors
- Jiancheng Xu (ORCID: https://orcid.org/0000-0001-8796-271X)
- Rongrong Dong (ORCID: https://orcid.org/0000-0003-0574-8280)
- Qi Chen (ORCID: https://orcid.org/0009-0001-2316-4521)
- Y. Wang (ORCID: https://orcid.org/0009-0002-0203-7440)
- Bo Zhao (ORCID: https://orcid.org/0000-0003-3218-6471)
- Qi Zhou (ORCID: https://orcid.org/0009-0000-4208-2380)
- Han Yao
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- Second Affiliated Hospital of Jilin University (CN)
- Meiho University (TW)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jir.s378069
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Jilin University
- First Hospital of Jilin University