Machine Learning Model to Predict Iodine Contrast Media-related Acute Adverse Reaction in Patients without a Similar History for Enhanced CT
LR can predict the risk of ICM-related AAR well in patients without a history of ICM-related AAR, and the corresponding nomogram is provided.
Authors
- Kuai Li
- Yang Xu (ORCID: https://orcid.org/0000-0002-0958-8547)
- Tian‐wu Chen (ORCID: https://orcid.org/0000-0001-5776-3429)
- Kexin Jiang (ORCID: https://orcid.org/0009-0005-6675-0159)
- Rong Zhou (ORCID: https://orcid.org/0000-0002-8527-0020)
- Dajing Guo (ORCID: https://orcid.org/0000-0001-8655-6621)
- Xiaolin Wang
- Shu Xiang
- Wenyan Liu (ORCID: https://orcid.org/0000-0002-9312-1295)
- Fang Wen (ORCID: https://orcid.org/0000-0003-4585-4491)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Qianjiang Central Hospital (CN)
- Chongqing Three Gorges Central Hospital (CN)
- Chongqing Three Gorges University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-10-30
- DOI
- https://doi.org/10.2174/0115734056436322251022040623
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00