An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus

Renal Failure · Published 2026-08-05 · DOI 10.1080/0886022x.2026.2696631

Free full text

Authors (13)

Jiabao Liu, Yong Wang, Zheyi Dong, Zhe Feng, Xiaomin Liu, Yue Niu, Jie Wu, Li Zhang, Pu Chen, Guangyan Cai, Sai Pan, Ping Li, Xiangmei Chen

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Liu, J., Wang, Y., Dong, Z., et al. (2026). An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus. Renal Failure. https://doi.org/10.1080/0886022x.2026.2696631

Related articles

• Predictive modeling of fluid status in hemodialysis: model development and internal validation using the MONitoring dialysis outcomes (MONDO) global database · Renal Failure · 2026 · Same journal
• Predicting intradialytic exercise intolerance in maintenance hemodialysis patients: an interpretable machine learning approach integrating functional assessments · Renal Failure · 2026 · Same journal
• Shared genetics of IgA nephropathy and cardiometabolic diseases revealed by integrative genomic analysis · Renal Failure · 2026 · Same journal
• Proteinuria selectivity index as a predictor of remission and rituximab efficacy in primary membranous nephropathy: a single-center retrospective analysis · Renal Failure · 2026 · Same journal
• Cardiometabolic benefits of parathyroidectomy in dialysis patients with secondary hyperparathyroidism: preliminary insights from CT radiomics and body composition analysis · Renal Failure · 2026 · Same journal
• ICU-acquired acute kidney injury in critically ill adults: a retrospective cohort study of risk factors and KDIGO stage dynamics in a Brazilian ICU · Renal Failure · 2026 · Same journal
• Soy protein alleviates DKD by restraining inflammation via the MAPKs/PPAR-γ signaling pathway · Renal Failure · 2026 · Same journal
• Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage · Renal Failure · 2026 · Same journal
• Kidney failure risk equation and early renal risk in adults with sickle cell disease: comparison with KDIGO classification using measured GFR · Renal Failure · 2026 · Same journal
• Development and validation of a dual-channel deep learning for continuous acute kidney injury prediction in critically ill patients · Renal Failure · 2026 · Same journal