Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study
The study was conducted following the Declaration of Helsinki and was approved by the Ethics Committee of Zhejiang Provincial People's Hospital (Approval No. KT2024116) in 3 Jan. 2025. As it was a retrospective study with anonymized data, informed consent was waived.
Authors
- Wentong Liu (ORCID: https://orcid.org/0009-0005-4910-9861)
- Yukun Li (ORCID: https://orcid.org/0000-0003-0750-3308)
- Wei Zhang (ORCID: https://orcid.org/0000-0001-5292-7308)
- Xiaolan Ye (ORCID: https://orcid.org/0000-0001-7620-9642)
- Kaiyue Ji
- Jiana Shi
- Weiqi Xia (ORCID: https://orcid.org/0000-0001-8213-5272)
- Ping Huang (ORCID: https://orcid.org/0000-0003-1076-3469)
- Lina Shao (ORCID: https://orcid.org/0000-0002-2857-8774)
- Qinglai Tang (ORCID: https://orcid.org/0000-0001-5360-3161)
Institutions
- Hangzhou Normal University (CN)
- Amicable Knowledge Solution University (IN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1186/s12911-025-03142-0
- Citations
- 2
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 2.86