⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

February 18, 2024Renal FailureOpen Access

Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury

Tianyun Gao Zhiqiang Nong Yu‐Zhen Luo Man-Qiu Mo Zhaoyan Chen Zhenhua Yang Ling Pan

View Full Paper

Ask AI

Bookmark

Share

Abstract

This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Gao et al. (2024) studied this question.

synapsesocial.com/papers/68e78b83b6db6435876fd336 https://doi.org/10.1080/0886022x.2024.2316267

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury2024 · 11 citations
2Development and validation of a machine-learning model for predicting the risk of death in sepsis patients with acute kidney injury2024 · 17 citations
3An interpretable machine-learning model for predicting in-hospital mortality in patients with sepsis-associated acute kidney injuryCohort Study · 2026 · 2 citations
4Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review2025 · 8 citations
5Machine learning for prediction of acute kidney injury in patients diagnosed with sepsis in critical care2024 · 23 citations

More related papers

Interpretable Machine Learning for Early Prediction of Acute Kidney Disease (AKD) in Sepsis-Associated Acute Kidney Injury (SA-AKI): A Multicenter Cohort Study with External Validation 2025
Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury2026
Prediction of Hospital Mortality in Sepsis-Associated Acute Kidney Injury using a Machine-Learning Approach: A Multi-Center Study Using SHAP Interpretability Analysis2025

More from Renal Failure

Bilateral peripheral CT venography for evaluating central venous lesions in dysfunctional arteriovenous fistulas: feasibility, safety, and radiation dose in hemodialysis patientsTue,
Long-term outcome of stenting for the iliac vein stenosis with ipsilateral arterio-venous graft; a case seriesTue,