A Machine Learning Method for Differentiation Crohn’s Disease and Intestinal Tuberculosis
We developed an ML model based on XGBoost. The ML model could provide effective and efficient differential diagnoses of ITB and CD with diagnostic bases. The ML model performs well in real-world clinical practice, and the agreement between the ML model and MDT is strong.
Authors
- Ju Luo (ORCID: https://orcid.org/0000-0002-5595-9513)
- Jingshu Chi
- Yufeng Shu
- Sha Cheng
- Huan Li (ORCID: https://orcid.org/0000-0001-8568-3151)
- Zhe Chen (ORCID: https://orcid.org/0000-0002-6483-6056)
- Peng Liu (ORCID: https://orcid.org/0009-0000-3413-2253)
Institutions
- Central South University (CN)
- Changsha Central Hospital (CN)
- Third Xiangya Hospital (CN)
- University of South China (CN)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2024-08-01
- DOI
- https://doi.org/10.2147/jmdh.s470429
- Citations
- 2
- Primary Topic
- Diagnosis and treatment of tuberculosis
- Type
- article
- Field-Weighted Citation Impact
- 1.15
Funders
- Tsinghua University