Zhuping Wen

Wuhan, China

Last Updated: 09/26/2026

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Found 10 publications

Nutritional-metabolic indicators do not independently predict AVF thrombosis after adjustment for surgical frequency: a retrospective cohort study.

Nutritional-metabolic indicators do not independently predict AVF thrombosis after adjustment for surgical frequency: a retrospective cohort study.

Journal: Frontiers in nutrition

Published: April 01, 2026

Development and internal validation of an interpretable machine learning model for predicting dialysis risk in patients with stage 3-4 chronic kidney disease.

Development and internal validation of an interpretable machine learning model for predicting dialysis risk in patients with stage 3-4 chronic kidney disease.

Journal: Frontiers in public health

Published: January 07, 2026

Interpretable Machine Learning Analysis of Inflammatory Biomarkers for Predicting Arteriovenous Fistula Stenosis in Hemodialysis Patients: A Retrospective Cohort Study.

Interpretable Machine Learning Analysis of Inflammatory Biomarkers for Predicting Arteriovenous Fistula Stenosis in Hemodialysis Patients: A Retrospective Cohort Study.

Journal: International journal of general medicine

Published: October 14, 2025

Development and validation of an inflammatory index-based interpretable machine learning model for mortality risk stratification in hemodialysis patients.

Development and validation of an inflammatory index-based interpretable machine learning model for mortality risk stratification in hemodialysis patients.

Journal: European journal of medical research

Published: September 26, 2025

Application of Cluster Analysis Based on SHAP Values in Hemodialysis Patients Using Arteriovenous Fistula.

Application of Cluster Analysis Based on SHAP Values in Hemodialysis Patients Using Arteriovenous Fistula.

Journal: International journal of general medicine

Published: May 06, 2025

SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study.

SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study.

Journal: Frontiers in medicine

Published: April 22, 2025

Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024.

Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024.

Journal: BMC nephrology

Published: February 14, 2025

The effect of multiple single cannulation technique on complications of arteriovenous fistulae: A meta-analysis.

The effect of multiple single cannulation technique on complications of arteriovenous fistulae: A meta-analysis.

Journal: Medicine

Published: September 23, 2024

Impact of nursing interventions based on the health ecology model on quality of life in maintenance hemodialysis patients.

Impact of nursing interventions based on the health ecology model on quality of life in maintenance hemodialysis patients.

Journal: BMC nursing

Published: September 13, 2024

The Effectiveness of Electronic Cannulation Atlas in Patients with Arteriovenous Fistula.

The Effectiveness of Electronic Cannulation Atlas in Patients with Arteriovenous Fistula.

Journal: International journal of general medicine

Published: March 18, 2024

Showing 1-10 of 10

Last Updated: 09/26/2026