Prediction of Immune Checkpoint Inhibitor-Induced Liver Injury in Patients with Gastrointestinal Cancer: Machine Learning Modeling for Time-Stratified Risk Assessment.
- DOI
- 10.3390/curroncol33090568
- Published
- 2026 Sep 20
- Container
- Current oncology (Toronto, Ont.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/curroncol33090568,
title = {Prediction of Immune Checkpoint Inhibitor-Induced Liver Injury in Patients with Gastrointestinal Cancer: Machine Learning Modeling for Time-Stratified Risk Assessment.},
author = {Jiang Y and Li R and Gao H and Li X and Zhang N},
year = {2026},
journal = {Current oncology (Toronto, Ont.)},
doi = {10.3390/curroncol33090568},
url = {https://doi.org/10.3390/curroncol33090568}
}RIS
TY - JOUR TI - Prediction of Immune Checkpoint Inhibitor-Induced Liver Injury in Patients with Gastrointestinal Cancer: Machine Learning Modeling for Time-Stratified Risk Assessment. AU - Jiang Y AU - Li R AU - Gao H AU - Li X AU - Zhang N PY - 2026 JO - Current oncology (Toronto, Ont.) DO - 10.3390/curroncol33090568 UR - https://doi.org/10.3390/curroncol33090568 ER -
APA
Y, J., R, L., H, G., X, L., & N, Z. (2026). Prediction of Immune Checkpoint Inhibitor-Induced Liver Injury in Patients with Gastrointestinal Cancer: Machine Learning Modeling for Time-Stratified Risk Assessment.. Current oncology (Toronto, Ont.). https://doi.org/10.3390/curroncol33090568
Source records
- pubmed · retrieved 2026-09-25T21:57:54.812Z